# Homework and bake-off: word-level entailment with neural networks

```python
__author__ = "Christopher Potts"
__version__ = "CS224u, Stanford, Fall 2020"
```

## Contents

1. [Overview](#Overview)
1. [Set-up](#Set-up)
1. [Data](#Data)
1. [Baseline](#Baseline)
  1. [Representing words: vector_func](#Representing-words:-vector_func)
  1. [Combining words into inputs: vector_combo_func](#Combining-words-into-inputs:-vector_combo_func)
  1. [Classifier model](#Classifier-model)
  1. [Baseline results](#Baseline-results)
1. [Homework questions](#Homework-questions)
  1. [Hypothesis-only baseline [2 points]](#Hypothesis-only-baseline-[2-points])
  1. [Alternatives to concatenation [2 points]](#Alternatives-to-concatenation-[2-points])
  1. [A deeper network [2 points]](#A-deeper-network-[2-points])
  1. [Your original system [3 points]](#Your-original-system-[3-points])
1. [Bake-off [1 point]](#Bake-off-[1-point])

## Overview

The general problem is word-level natural language inference. Training examples are pairs of words $(w_{L}, w_{R}), y$ with $y = 1$ if $w_{L}$ entails $w_{R}$, otherwise $0$.

The homework questions below ask you to define baseline models for this and develop your own system for entry in the bake-off, which will take place on a held-out test-set distributed at the start of the bake-off. (Thus, all the data you have available for development is available for training your final system before the bake-off begins.)

## Set-up

See [the first notebook in this unit](nli_01_task_and_data.ipynb) for set-up instructions.

```python
from collections import defaultdict
import json
import numpy as np
import os
import pandas as pd
from torch_shallow_neural_classifier import TorchShallowNeuralClassifier
import nli
import utils
import sklearn
from sklearn.linear_model import LogisticRegression
```

    Microsoft Visual C++ Redistributable is not installed, this may lead to the DLL load failure.
                     It can be downloaded at https://aka.ms/vs/16/release/vc_redist.x64.exe

```python
DATA_HOME = 'data'

NLIDATA_HOME = os.path.join(DATA_HOME, 'nlidata')

wordentail_filename = os.path.join(
    NLIDATA_HOME, 'nli_wordentail_bakeoff_data.json')

GLOVE_HOME = os.path.join(DATA_HOME, 'glove.6B')
```

## Data

I've processed the data into a train/dev split that is designed to put some pressure on our models to actually learn these semantic relations, as opposed to exploiting regularities in the sample.

The defining feature of the dataset is that the `train` and `dev` __vocabularies__ are disjoint. That is, if a word `w` appears in a training pair, it does not occur in any text pair. It follows from this that there are also no word-pairs shared between train and dev, as you would expect. This should require your models to learn abstract relationships, as opposed to memorizing incidental properties of individual words in the dataset.

```python
with open(wordentail_filename) as f:
    wordentail_data = json.load(f)
```

The keys are the splits plus a list giving the vocabulary for the entire dataset:

```python
wordentail_data.keys()
```

    dict_keys(['dev', 'train', 'vocab'])

```python
wordentail_data['train'][: 5]
```

    [[['abode', 'house'], 1],
     [['abortion', 'anaemia'], 0],
     [['abortion', 'aneurysm'], 0],
     [['abortion', 'blindness'], 0],
     [['abortion', 'deafness'], 0]]

```python
nli.get_vocab_overlap_size(wordentail_data)
```

    0

Because no words are shared between `train` and `dev`, no pairs are either:

```python
nli.get_pair_overlap_size(wordentail_data)
```

    0

Here is the label distribution:

```python
pd.DataFrame(wordentail_data['train'])[1].value_counts()
```

    0    7000
    1    1283
    Name: 1, dtype: int64

This is a challenging label distribution – there are more than 5 times as more non-entailment cases as entailment cases.

## Baseline

Even in deep learning, __feature representation is vital and requires care!__ For our task, feature representation has two parts: representing the individual words and combining those representations into a single network input.

### Representing words: vector_func

Let's consider two baseline word representations methods:

1. Random vectors (as returned by `utils.randvec`).
1. 50-dimensional GloVe representations.

```python
def randvec(w, n=50, lower=-1.0, upper=1.0):
    """Returns a random vector of length `n`. `w` is ignored."""
    return utils.randvec(n=n, lower=lower, upper=upper)
```

```python
def load_glove50():
    glove_src = os.path.join(GLOVE_HOME, 'glove.6B.50d.txt')
    # Creates a dict mapping strings (words) to GloVe vectors:
    GLOVE = utils.glove2dict(glove_src)
    return GLOVE

GLOVE = load_glove50()

def glove_vec(w):
    """Return `w`'s GloVe representation if available, else return
    a random vector."""
    return GLOVE.get(w, randvec(w, n=50))
```

### Combining words into inputs: vector_combo_func

Here we decide how to combine the two word vectors into a single representation. In more detail, where `u` is a vector representation of the left word and `v` is a vector representation of the right word, we need a function `vector_combo_func` such that `vector_combo_func(u, v)` returns a new input vector `z` of dimension `m`. A simple example is concatenation:

```python
def vec_concatenate(u, v):
    """Concatenate np.array instances `u` and `v` into a new np.array"""
    return np.concatenate((u, v))
```

`vector_combo_func` could instead be vector average, vector difference, etc. (even combinations of those) – there's lots of space for experimentation here; [homework question 2](#Alternatives-to-concatenation-[2-points]) below pushes you to do some exploration.

### Classifier model

For a baseline model, I chose `TorchShallowNeuralClassifier`:

```python
net = TorchShallowNeuralClassifier(early_stopping=True)
```

### Baseline results

The following puts the above pieces together, using `vector_func=glove_vec`, since `vector_func=randvec` seems so hopelessly misguided for our problem!

```python
baseline_experiment = nli.wordentail_experiment(
    train_data=wordentail_data['train'],
    assess_data=wordentail_data['dev'],
    model=net,
    vector_func=glove_vec,
    vector_combo_func=vec_concatenate)
```

    Stopping after epoch 137. Validation score did not improve by tol=1e-05 for more than 10 epochs. Final error is 1.052418701350689

                  precision    recall  f1-score   support

               0      0.864     0.954     0.907      1732
               1      0.484     0.225     0.307       334

        accuracy                          0.836      2066
       macro avg      0.674     0.589     0.607      2066
    weighted avg      0.803     0.836     0.810      2066

## Homework questions

Please embed your homework responses in this notebook, and do not delete any cells from the notebook. (You are free to add as many cells as you like as part of your responses.)

### Hypothesis-only baseline [2 points]

During our discussion of SNLI and MultiNLI, we noted that a number of research teams have shown that hypothesis-only baselines for NLI tasks can be remarkably robust. This question asks you to explore briefly how this baseline affects our task.

For this problem, submit two functions:

1. A `vector_combo_func` function called `hypothesis_only` that simply throws away the premise, using the unmodified hypothesis (second) vector as its representation of the example.

1. A function called `run_hypothesis_only_evaluation` that does the following:
    1. Loops over the two `vector_combo_func` values `vec_concatenate` and `hypothesis_only`, calling `nli.wordentail_experiment` to train on the 'train' portion and assess on the 'dev' portion, with `glove_vec` as the `vector_func`. So that the results are consistent, use an `sklearn.linear_model.LogisticRegression` with default parameters as the model.
    1. Returns a `dict` mapping `function_name` strings to the 'macro-F1' score for that pair, as returned by the call to `nli.wordentail_experiment`. (Tip: you can get the `str` name of, e.g., `hypothesis_only` with `hypothesis_only.__name__`.)

The functions `test_hypothesis_only` and `test_run_hypothesis_only_evaluation` will help ensure that your functions have the desired logic.

```python
def hypothesis_only(u, v):
    return v

def run_hypothesis_only_evaluation():

    pair_dict = {}

    vec_concatenate_result = nli.wordentail_experiment(
    train_data=wordentail_data['train'],
    assess_data=wordentail_data['dev'],
    model=LogisticRegression(),
    vector_func=glove_vec,
    vector_combo_func=vec_concatenate)['macro-F1']

    hypothesis_only_result = nli.wordentail_experiment(
    train_data=wordentail_data['train'],
    assess_data=wordentail_data['dev'],
    model=LogisticRegression(),
    vector_func=glove_vec,
    vector_combo_func=hypothesis_only)['macro-F1']

    pair_dict[vec_concatenate.__name__] = vec_concatenate_result
    pair_dict[hypothesis_only.__name__] = hypothesis_only_result

    return pair_dict
```

```python
def test_hypothesis_only(hypothesis_only):
    v = hypothesis_only(1, 2)
    assert v == 2
```

```python
test_hypothesis_only(hypothesis_only)
```

```python
def test_run_hypothesis_only_evaluation(run_hypothesis_only_evaluation):
    results = run_hypothesis_only_evaluation()
    assert all(x in results for x in ('hypothesis_only', 'vec_concatenate')), \
        ("The return value of `run_hypothesis_only_evaluation` does not "
         "have the intended kind of keys.")
    assert isinstance(results['vec_concatenate'], float), \
        ("The values of the `run_hypothesis_only_evaluation` result "
         "should be floats.")
```

```python
test_run_hypothesis_only_evaluation(run_hypothesis_only_evaluation)
```

                  precision    recall  f1-score   support

               0      0.864     0.956     0.908      1732
               1      0.490     0.219     0.302       334

        accuracy                          0.837      2066
       macro avg      0.677     0.587     0.605      2066
    weighted avg      0.803     0.837     0.810      2066

                  precision    recall  f1-score   support

               0      0.855     0.972     0.909      1732
               1      0.495     0.144     0.223       334

        accuracy                          0.838      2066
       macro avg      0.675     0.558     0.566      2066
    weighted avg      0.797     0.838     0.798      2066

### Alternatives to concatenation [2 points]

We've so far just used vector concatenation to represent the premise and hypothesis words. This question asks you to explore two simple alternative:

1. Write a function `vec_diff` that, for a given pair of vector inputs `u` and `v`, returns the element-wise difference between `u` and `v`.

1. Write a function `vec_max` that, for a given pair of vector inputs `u` and `v`, returns the element-wise max values between `u` and `v`.

You needn't include your uses of `nli.wordentail_experiment` with these functions, but we assume you'll be curious to see how they do!

```python
def vec_diff(u, v):
    return np.subtract(u,v)

def vec_max(u, v):
    return np.maximum(u,v)
```

```python
def test_vec_diff(vec_diff):
    u = np.array([10.2, 8.1])
    v = np.array([1.2, -7.1])
    result = vec_diff(u, v)
    expected = np.array([9.0, 15.2])
    assert np.array_equal(result, expected), \
        "Expected {}; got {}".format(expected, result)
```

```python
test_vec_diff(vec_diff)
```

```python
def test_vec_max(vec_max):
    u = np.array([1.2,  8.1])
    v = np.array([10.2, -7.1])
    result = vec_max(u, v)
    expected = np.array([10.2, 8.1])
    assert np.array_equal(result, expected), \
        "Expected {}; got {}".format(expected, result)
```

```python
test_vec_max(vec_max)
```

```python
vec_diff_result = nli.wordentail_experiment(
    train_data=wordentail_data['train'],
    assess_data=wordentail_data['dev'],
    model=net,
    vector_func=glove_vec,
    vector_combo_func=vec_diff)
```

    Stopping after epoch 32. Validation score did not improve by tol=1e-05 for more than 10 epochs. Final error is 3.007741153240204

                  precision    recall  f1-score   support

               0      0.847     0.991     0.913      1732
               1      0.600     0.072     0.128       334

        accuracy                          0.842      2066
       macro avg      0.723     0.531     0.521      2066
    weighted avg      0.807     0.842     0.786      2066

```python
vec_max_result = nli.wordentail_experiment(
    train_data=wordentail_data['train'],
    assess_data=wordentail_data['dev'],
    model=net,
    vector_func=glove_vec,
    vector_combo_func=vec_max)
```

    Stopping after epoch 47. Validation score did not improve by tol=1e-05 for more than 10 epochs. Final error is 2.8207808136940002

                  precision    recall  f1-score   support

               0      0.853     0.957     0.902      1732
               1      0.395     0.147     0.214       334

        accuracy                          0.826      2066
       macro avg      0.624     0.552     0.558      2066
    weighted avg      0.779     0.826     0.791      2066

### A deeper network [2 points]

It is very easy to subclass `TorchShallowNeuralClassifier` if all you want to do is change the network graph: all you have to do is write a new `build_graph`. If your graph has new arguments that the user might want to set, then you should also redefine `__init__` so that these values are accepted and set as attributes.

For this question, please subclass `TorchShallowNeuralClassifier` so that it defines the following graph:

$$\begin{align}
h_{1} &= xW_{1} + b_{1} \\
r_{1} &= \textbf{Bernoulli}(1 - \textbf{dropout_prob}, n) \\
d_{1} &= r_1 * h_{1} \\
h_{2} &= f(d_{1}) \\
h_{3} &= h_{2}W_{2} + b_{2}
\end{align}$$

Here, $r_{1}$ and $d_{1}$ define a dropout layer: $r_{1}$ is a random binary vector of dimension $n$, where the probability of a value being $1$ is given by $1 - \textbf{dropout_prob}$. $r_{1}$ is multiplied element-wise by our first hidden representation, thereby zeroing out some of the values. The result is fed to the user's activation function $f$, and the result of that is fed through another linear layer to produce $h_{3}$. (Inside `TorchShallowNeuralClassifier`, $h_{3}$ is the basis for a softmax classifier; no activation function is applied to it because the softmax scaling is handled internally by the loss function.)

For your implementation, please use `nn.Sequential`, `nn.Linear`, and `nn.Dropout` to define the required layers.

For comparison, using this notation, `TorchShallowNeuralClassifier` defines the following graph:

$$\begin{align}
h_{1} &= xW_{1} + b_{1} \\
h_{2} &= f(h_{1}) \\
h_{3} &= h_{2}W_{2} + b_{2}
\end{align}$$

The following code starts this sub-class for you, so that you can concentrate on `build_graph`. Be sure to make use of `self.dropout_prob`.

For this problem, submit just your completed  `TorchDeepNeuralClassifier`. You needn't evaluate it, though we assume you will be keen to do that!

You can use `test_TorchDeepNeuralClassifier` to ensure that your network has the intended structure.

```python
import torch.nn as nn

class TorchDeepNeuralClassifier(TorchShallowNeuralClassifier):
    def __init__(self, dropout_prob=0.7, **kwargs):
        self.dropout_prob = dropout_prob
        super().__init__(**kwargs)

    def build_graph(self):
        """Complete this method!

        Returns
        -------
        an `nn.Module` instance, which can be a free-standing class you
        write yourself, as in `torch_rnn_classifier`, or the outpiut of
        `nn.Sequential`, as in `torch_shallow_neural_classifier`.

        """
        return nn.Sequential(
            nn.Linear(self.input_dim, self.hidden_dim),
            nn.Dropout(self.dropout_prob),
            self.hidden_activation,
            nn.Linear(self.hidden_dim, self.n_classes_))
```

```python
def test_TorchDeepNeuralClassifier(TorchDeepNeuralClassifier):
    dropout_prob = 0.55
    assert hasattr(TorchDeepNeuralClassifier(), "dropout_prob"), \
        "TorchDeepNeuralClassifier must have an attribute `dropout_prob`."
    try:
        inst = TorchDeepNeuralClassifier(dropout_prob=dropout_prob)
    except TypeError:
        raise TypeError("TorchDeepNeuralClassifier must allow the user "
                        "to set `dropout_prob` on initialization")
    inst.input_dim = 10
    inst.n_classes_ = 5
    graph = inst.build_graph()
    assert len(graph) == 4, \
        "The graph should have 4 layers; yours has {}".format(len(graph))
    expected = {
        0: 'Linear',
        1: 'Dropout',
        2: 'Tanh',
        3: 'Linear'}
    for i, label in expected.items():
        name = graph[i].__class__.__name__
        assert label in name, \
            ("The {} layer of the graph should be a {} layer; "
            "yours is {}".format(i, label, name))
    assert graph[1].p == dropout_prob, \
        ("The user's value for `dropout_prob` should be the value of "
         "`p` for the Dropout layer.")
```

```python
test_TorchDeepNeuralClassifier(TorchDeepNeuralClassifier)
```

```python
nli.wordentail_experiment(
    train_data=wordentail_data['train'],
    assess_data=wordentail_data['dev'],
    model=TorchDeepNeuralClassifier(early_stopping=True),
    vector_func=glove_vec,
    vector_combo_func=vec_concatenate)
```

    Stopping after epoch 57. Validation score did not improve by tol=1e-05 for more than 10 epochs. Final error is 2.5696433782577515

                  precision    recall  f1-score   support

               0      0.862     0.960     0.908      1732
               1      0.489     0.201     0.285       334

        accuracy                          0.837      2066
       macro avg      0.675     0.580     0.596      2066
    weighted avg      0.801     0.837     0.807      2066

    {'model': TorchDeepNeuralClassifier(
     	batch_size=1028,
     	max_iter=1000,
     	eta=0.001,
     	optimizer_class=<class 'torch.optim.adam.Adam'>,
     	l2_strength=0,
     	gradient_accumulation_steps=1,
     	max_grad_norm=None,
     	validation_fraction=0.1,
     	early_stopping=True,
     	n_iter_no_change=10,
     	warm_start=False,
     	tol=1e-05,
     	hidden_dim=50,
     	hidden_activation=Tanh()),
     'train_data': [[['abode', 'house'], 1],
      [['abortion', 'anaemia'], 0],
      [['abortion', 'aneurysm'], 0],
      [['abortion', 'blindness'], 0],
      [['abortion', 'deafness'], 0],
      [['abortion', 'death'], 0],
      [['abortion', 'headache'], 0],
      [['abortion', 'hemiplegia'], 0],
      [['abortion', 'lesion'], 0],
      [['abortion', 'pain'], 0],
      [['abortion', 'palsy'], 0],
      [['abortion', 'paralysis'], 0],
      [['abortion', 'rickets'], 0],
      [['abortion', 'sore'], 0],
      [['abortion', 'stenosis'], 0],
      [['abortion', 'sterility'], 0],
      [['abortion', 'ulcer'], 0],
      [['abrasion', 'wound'], 1],
      [['abscess', 'alcohol'], 0],
      [['abscess', 'aneurysm'], 0],
      [['abscess', 'anthrax'], 0],
      [['abscess', 'bacteremia'], 0],
      [['abscess', 'bite'], 0],
      [['abscess', 'bronchitis'], 0],
      [['abscess', 'catarrh'], 0],
      [['abscess', 'cervicitis'], 0],
      [['abscess', 'chill'], 0],
      [['abscess', 'contraction'], 0],
      [['abscess', 'death'], 0],
      [['abscess', 'effusion'], 0],
      [['abscess', 'empyema'], 0],
      [['abscess', 'exertion'], 0],
      [['abscess', 'fever'], 0],
      [['abscess', 'gangrene'], 0],
      [['abscess', 'gonorrhea'], 0],
      [['abscess', 'haemorrhage'], 0],
      [['abscess', 'hematoma'], 0],
      [['abscess', 'hypertension'], 0],
      [['abscess', 'ingestion'], 0],
      [['abscess', 'injury'], 0],
      [['abscess', 'intoxication'], 0],
      [['abscess', 'lesion'], 0],
      [['abscess', 'measles'], 0],
      [['abscess', 'migraine'], 0],
      [['abscess', 'necrosis'], 0],
      [['abscess', 'pain'], 0],
      [['abscess', 'pleurisy'], 0],
      [['abscess', 'sinusitis'], 0],
      [['abscess', 'sputum'], 0],
      [['abscess', 'strain'], 0],
      [['abscess', 'symptom'], 1],
      [['abscess', 'vomiting'], 0],
      [['abundance', 'destitution'], 0],
      [['abuse', 'allegation'], 0],
      [['abuse', 'beating'], 0],
      [['abuse', 'complaint'], 0],
      [['abuse', 'conspiracy'], 0],
      [['abuse', 'death'], 0],
      [['abuse', 'drug'], 0],
      [['abuse', 'exploitation'], 0],
      [['abuse', 'fraud'], 0],
      [['abuse', 'gang'], 0],
      [['abuse', 'involvement'], 1],
      [['abuse', 'irregularity'], 1],
      [['abuse', 'malpractice'], 0],
      [['abuse', 'massacre'], 0],
      [['abuse', 'molestation'], 0],
      [['abuse', 'offence'], 1],
      [['abuse', 'paedophilia'], 0],
      [['abuse', 'porn'], 0],
      [['abuse', 'prostitution'], 0],
      [['abuse', 'racism'], 0],
      [['abuse', 'rape'], 0],
      [['abuse', 'repression'], 0],
      [['abuse', 'scandal'], 0],
      [['abuse', 'shooting'], 0],
      [['abuse', 'smuggling'], 0],
      [['abuse', 'terrorism'], 0],
      [['abuse', 'violation'], 1],
      [['abuse', 'violence'], 0],
      [['acacia', 'birch'], 0],
      [['acacia', 'bole'], 0],
      [['acacia', 'connexion'], 0],
      [['acacia', 'cortex'], 0],
      [['acacia', 'crown'], 0],
      [['acacia', 'cypress'], 0],
      [['acacia', 'elm'], 0],
      [['acacia', 'flower'], 0],
      [['acacia', 'impact'], 0],
      [['acacia', 'leaf'], 0],
      [['acacia', 'live'], 0],
      [['acacia', 'manuscript'], 0],
      [['acacia', 'mezzo-soprano'], 0],
      [['acacia', 'moor'], 0],
      [['acacia', 'pine'], 0],
      [['acacia', 'plant'], 1],
      [['acacia', 'poplar'], 0],
      [['acacia', 're'], 0],
      [['acacia', 'root'], 0],
      [['acacia', 'spike'], 0],
      [['acacia', 'stump'], 0],
      [['acacia', 'treetop'], 0],
      [['access', 'treatment'], 0],
      [['accident', 'damage'], 1],
      [['accident', 'flemming'], 0],
      [['achlorhydria', 'hemolysis'], 0],
      [['achlorhydria', 'iron'], 0],
      [['achlorhydria', 'leukemia'], 0],
      [['achlorhydria', 'purpura'], 0],
      [['achlorhydria', 'thalassemia'], 0],
      [['achlorhydria', 'transfusion'], 0],
      [['achlorhydria', 'ulcer'], 0],
      [['acid', 'anticoagulant'], 0],
      [['acid', 'warfarin'], 0],
      [['acidosis', 'death'], 0],
      [['acidosis', 'fever'], 0],
      [['acne', 'adolescence'], 0],
      [['acne', 'aggression'], 0],
      [['acne', 'bacteremia'], 0],
      [['acne', 'bacteriuria'], 0],
      [['acne', 'bronchitis'], 0],
      [['acne', 'cholangitis'], 0],
      [['acne', 'cold'], 0],
      [['acne', 'conjunctivitis'], 0],
      [['acne', 'dacryocystitis'], 0],
      [['acne', 'dermatitis'], 0],
      [['acne', 'empyema'], 0],
      [['acne', 'fever'], 0],
      [['acne', 'furunculosis'], 0],
      [['acne', 'gastroenteritis'], 0],
      [['acne', 'gonorrhea'], 0],
      [['acne', 'hepatitis'], 0],
      [['acne', 'hyperplasia'], 0],
      [['acne', 'hypertrophy'], 0],
      [['acne', 'masculinization'], 0],
      [['acne', 'organism'], 0],
      [['acne', 'pathogen'], 0],
      [['acne', 'prostatitis'], 0],
      [['acne', 'std'], 0],
      [['acne', 'surgery'], 0],
      [['acne', 'ulcer'], 0],
      [['acquittal', 'ruling'], 1],
      [['active', 'tired'], 0],
      [['actor', 'audition'], 0],
      [['adhesiveness', 'fever'], 0],
      [['adhesiveness', 'headache'], 0],
      [['adhesiveness', 'pain'], 0],
      [['adjective', 'document'], 0],
      [['adjective', 'word'], 1],
      [['adolescence', 'acne'], 0],
      [['adolescent', 'face'], 0],
      [['adolescent', 'teen'], 1],
      [['adrenaline', 'integer'], 0],
      [['adrenaline', 'neurotransmitter'], 1],
      [['adult', 'librarian'], 0],
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      [['bacteremia', 'bronchitis'], 0],
      [['bacteremia', 'chill'], 0],
      [['bacteremia', 'cholangitis'], 0],
      [['bacteremia', 'cold'], 0],
      [['bacteremia', 'conjunctivitis'], 0],
      [['bacteremia', 'dacryocystitis'], 0],
      [['bacteremia', 'death'], 0],
      [['bacteremia', 'dermatitis'], 0],
      [['bacteremia', 'effusion'], 0],
      [['bacteremia', 'empyema'], 0],
      [['bacteremia', 'fever'], 0],
      [['bacteremia', 'furunculosis'], 0],
      [['bacteremia', 'gastroenteritis'], 0],
      [['bacteremia', 'gonorrhea'], 0],
      [['bacteremia', 'haemorrhage'], 0],
      [['bacteremia', 'organism'], 0],
      [['bacteremia', 'pathogen'], 0],
      [['bacteremia', 'pleurisy'], 0],
      [['bacteremia', 'prostatitis'], 0],
      [['bacteremia', 'sputum'], 0],
      [['bacteremia', 'std'], 0],
      [['bacteremia', 'ulcer'], 0],
      [['bacteriuria', 'acne'], 0],
      [['bacteriuria', 'bacteremia'], 0],
      [['bacteriuria', 'bronchitis'], 0],
      [['bacteriuria', 'cholangitis'], 0],
      [['bacteriuria', 'cold'], 0],
      [['bacteriuria', 'conjunctivitis'], 0],
      [['bacteriuria', 'dacryocystitis'], 0],
      [['bacteriuria', 'dermatitis'], 0],
      [['bacteriuria', 'empyema'], 0],
      [['bacteriuria', 'fever'], 0],
      [['bacteriuria', 'furunculosis'], 0],
      [['bacteriuria', 'gangrene'], 0],
      [['bacteriuria', 'gastroenteritis'], 0],
      [['bacteriuria', 'gonorrhea'], 0],
      [['bacteriuria', 'organism'], 0],
      [['bacteriuria', 'pathogen'], 0],
      [['bacteriuria', 'prostatitis'], 0],
      [['bacteriuria', 'std'], 0],
      [['bacteriuria', 'ulcer'], 0],
      [['badminton', 'kettle'], 0],
      [['badminton', 'sport'], 1],
      [['bake', 'toast'], 0],
      [['balance', 'gap'], 0],
      [['balance', 'surplus'], 0],
      [['bamboo', 'bear'], 0],
      [['ban', 'war'], 0],
      [['banana', 'bowel'], 0],
      [['banana', 'coconut'], 0],
      [['banana', 'cranberry'], 0],
      [['banana', 'desolation'], 0],
      [['banana', 'dustbin'], 0],
      [['banana', 'fiber'], 0],
      [['banana', 'food'], 1],
      [['banana', 'grapefruit'], 0],
      [['banana', 'groom'], 0],
      [['banana', 'hemorrhoid'], 0],
      [['banana', 'laxative'], 0],
      [['banana', 'lime'], 0],
      [['banana', 'mango'], 0],
      [['banana', 'marking'], 0],
      [['banana', 'masquerade'], 0],
      [['banana', 'morphine'], 0],
      [['banana', 'narcotic'], 0],
      [['banana', 'opioids'], 0],
      [['banana', 'pain'], 0],
      [['banana', 'panelist'], 0],
      [['banana', 'papaya'], 0],
      [['banana', 'peach'], 0],
      [['banana', 'pineapple'], 0],
      [['banana', 'plum'], 0],
      [['banana', 'potassium'], 0],
      [['banana', 'produce'], 1],
      [['banana', 'skin'], 0],
      [['banana', 'sore'], 0],
      [['banana', 'wingspan'], 0],
      [['bank', 'loans'], 1],
      [['bank', 'money'], 1],
      [['bank', 'river'], 1],
      [['barbeque', 'fire'], 0],
      [['baronetcy', 'status'], 1],
      [['barrier', 'fender'], 0],
      [['barrier', 'gap'], 0],
      [['barrier', 'psychotherapy'], 0],
      [['baseboard', 'wall'], 1],
      [['basil', 'herb'], 1],
      [['basketball', 'dribbling'], 1],
      [['basketball', 'shooting'], 1],
      [['bathing', 'shampooing'], 1],
      [['bathroom', 'lavatory'], 1],
      [['baton', 'conductor'], 0],
      [['bear', 'MP'], 0],
      [['bear', 'ace'], 0],
      [['bear', 'algae'], 0],
      [['bear', 'animal'], 1],
      [['bear', 'beast'], 1],
      [['bear', 'beaver'], 0],
      [['bear', 'cat'], 0],
      [['bear', 'claw'], 0],
      [['bear', 'co-operative'], 0],
      [['bear', 'complaint'], 0],
      [['bear', 'courtyard'], 0],
      [['bear', 'cow'], 0],
      [['bear', 'coyote'], 0],
      [['bear', 'creature'], 1],
      [['bear', 'deer'], 0],
      [['bear', 'document'], 0],
      [['bear', 'dog'], 0],
      [['bear', 'donkey'], 0],
      [['bear', 'drama'], 0],
      [['bear', 'entropy'], 0],
      [['bear', 'filling'], 0],
      [['bear', 'fur'], 0],
      [['bear', 'giraffe'], 0],
      [['bear', 'goat'], 0],
      [['bear', 'gorilla'], 0],
      [['bear', 'head'], 0],
      [['bear', 'jaw'], 0],
      [['bear', 'leg'], 0],
      [['bear', 'litter'], 0],
      [['bear', 'magnitude'], 0],
      [['bear', 'mouth'], 0],
      [['bear', 'multiple'], 0],
      [['bear', 'organisation'], 0],
      [['bear', 'pig'], 0],
      [['bear', 'punctuality'], 0],
      [['bear', 'rat'], 0],
      [['bear', 'sensor'], 0],
      [['bear', 'snout'], 0],
      [['bear', 'squirrel'], 0],
      [['bear', 'toll'], 0],
      [['bear', 'tooth'], 0],
      [['bear', 'traitor'], 0],
      [['bear', 'vertebrate'], 1],
      [['bear', 'webcam'], 0],
      [['beat', 'defeated'], 1],
      [['beating', 'abuse'], 1],
      [['beautiful', 'pretty'], 1],
      [['beaver', 'amateur'], 0],
      [['beaver', 'animal'], 1],
      [['beaver', 'archdeaconry'], 0],
      [['beaver', 'bear'], 0],
      [['beaver', 'beast'], 1],
      [['beaver', 'cat'], 0],
      [['beaver', 'claimant'], 0],
      [['beaver', 'coffee-table'], 0],
      [['beaver', 'cow'], 0],
      [['beaver', 'coyote'], 0],
      [['beaver', 'creature'], 1],
      [['beaver', 'deer'], 0],
      [['beaver', 'digger'], 0],
      [['beaver', 'dog'], 0],
      [['beaver', 'donkey'], 0],
      [['beaver', 'erosion'], 0],
      [['beaver', 'fur'], 0],
      [['beaver', 'giraffe'], 0],
      [['beaver', 'goat'], 0],
      [['beaver', 'gorilla'], 0],
      [['beaver', 'head'], 0],
      [['beaver', 'leg'], 0],
      [['beaver', 'microprocessor'], 0],
      [['beaver', 'mortgage'], 0],
      [['beaver', 'mouse'], 0],
      [['beaver', 'mouth'], 0],
      [['beaver', 'pastime'], 0],
      [['beaver', 'pig'], 0],
      [['beaver', 'prescriber'], 0],
      [['beaver', 'rat'], 0],
      [['beaver', 'rodent'], 1],
      [['beaver', 'section'], 0],
      [['beaver', 'series'], 0],
      [['beaver', 'siege'], 0],
      [['beaver', 'snout'], 0],
      [['beaver', 'squirrel'], 0],
      [['beaver', 'tail'], 0],
      [['beaver', 'test'], 0],
      [['beaver', 'theology'], 0],
      [['beaver', 'tooth'], 0],
      [['beaver', 'vertebrate'], 1],
      [['beech', 'artillery'], 0],
      [['beer', 'beverage'], 1],
      [['beer', 'liquid'], 1],
      [['beet', 'aluminum'], 0],
      [['beet', 'bean'], 0],
      [['beet', 'bout'], 0],
      [['beet', 'broccoli'], 0],
      [['beet', 'cabbage'], 0],
      [['beet', 'carrot'], 0],
      [['beet', 'cauliflower'], 0],
      [['beet', 'chaplain'], 0],
      [['beet', 'clinician'], 0],
      [['beet', 'cucumber'], 0],
      [['beet', 'down'], 0],
      [['beet', 'food'], 1],
      [['beet', 'found'], 0],
      [['beet', 'garlic'], 0],
      [['beet', 'homology'], 0],
      [['beet', 'hypertension'], 0],
      [['beet', 'junior'], 0],
      [['beet', 'leaf'], 0],
      [['beet', 'limbo'], 0],
      [['beet', 'mavoc'], 0],
      [['beet', 'parsley'], 0],
      [['beet', 'potato'], 0],
      [['beet', 'produce'], 1],
      [['beet', 'productivity'], 0],
      [['beet', 'range'], 0],
      [['beet', 'root'], 1],
      [['beet', 'sermon'], 0],
      [['beet', 'sister'], 0],
      [['beet', 'spinach'], 0],
      [['beet', 'symposium'], 0],
      [['beet', 'twentieth-century'], 0],
      [['beetle', 'animal'], 1],
      [['beetle', 'ant'], 0],
      [['beetle', 'antenna'], 0],
      [['beetle', 'bug'], 1],
      [['beetle', 'burst'], 0],
      [['beetle', 'butterfly'], 0],
      [['beetle', 'cockroach'], 0],
      [['beetle', 'creature'], 1],
      [['beetle', 'exoskeleton'], 0],
      [['beetle', 'head'], 0],
      [['beetle', 'hornet'], 0],
      [['beetle', 'leg'], 0],
      [['beetle', 'loom'], 0],
      [['beetle', 'magnet'], 0],
      [['beetle', 'mascot'], 0],
      [['beetle', 'mosquito'], 0],
      [['beetle', 'moth'], 0],
      [['beetle', 'protease'], 0],
      [['beetle', 'request'], 0],
      [['beetle', 'room'], 0],
      [['beetle', 'saga'], 0],
      [['beetle', 'spectrum'], 0],
      [['beetle', 'surprise'], 0],
      [['beetle', 'wasp'], 0],
      [['beetle', 'weak'], 0],
      [['beetle', 'wing'], 0],
      [['beg', 'request'], 1],
      [['believe', 'faith'], 0],
      [['benzodiazepine', 'drug'], 1],
      [['beverage', 'beer'], 0],
      [['beverage', 'liquid'], 1],
      [['beverage', 'symbol'], 0],
      [['beverage', 'water'], 0],
      [['beverage', 'whisky'], 0],
      [['beverages', 'sodas'], 0],
      [['bicycle', 'wheel'], 1],
      [['bigot', 'hateful'], 1],
      [['bill', 'agreement'], 0],
      [['bill', 'application'], 0],
      [['bill', 'budget'], 0],
      [['bill', 'document'], 1],
      [['bill', 'draft'], 0],
      [['bill', 'matter'], 1],
      [['bill', 'measure'], 1],
      [['bill', 'motion'], 1],
      [['bill', 'pact'], 0],
      [['bill', 'payment'], 0],
      [['bill', 'policy'], 1],
      [['bill', 'reform'], 0],
      [['bill', 'regulation'], 1],
      [['bill', 'repo'], 0],
      [['bill', 'resolution'], 0],
      [['bill', 'rule'], 1],
      [['bill', 'scheme'], 1],
      [['bill', 'settlement'], 1],
      [['bill', 'text'], 1],
      [['bill', 'treaty'], 0],
      [['bin', 'mail'], 0],
      [['birch', 'ITN'], 0],
      [['birch', 'acacia'], 0],
      [['birch', 'artery'], 0],
      [['birch', 'ballast'], 0],
      ...],
     'assess_data': [[['abbey', 'nun'], 1],
      [['absolve', 'sinner'], 1],
      [['abstinence', 'anxiety'], 0],
      [['abstinence', 'depression'], 0],
      [['abstinence', 'stress'], 0],
      [['acetaminophen', 'camphor'], 0],
      [['acetaminophen', 'codeine'], 0],
      [['acetaminophen', 'methadone'], 0],
      [['acetaminophen', 'phenylbutazone'], 0],
      [['acetaminophen', 'trichloroethylene'], 0],
      [['actinomycosis', 'angina'], 0],
      [['actinomycosis', 'cellulitis'], 0],
      [['actinomycosis', 'meningitis'], 0],
      [['actinomycosis', 'nephrosis'], 0],
      [['actinomycosis', 'neurosyphilis'], 0],
      [['actinomycosis', 'pharyngitis'], 0],
      [['actinomycosis', 'syphilis'], 0],
      [['actinomycosis', 'yaw'], 0],
      [['activist', 'federation'], 0],
      [['administration', 'government'], 1],
      [['administration', 'management'], 1],
      [['adorable', 'cute'], 1],
      [['advisories', 'federation'], 0],
      [['aerospace', 'management'], 1],
      [['agenda', 'element'], 0],
      [['aircraft', 'bomber'], 0],
      [['aircraft', 'warplane'], 1],
      [['airplane', 'bomber'], 0],
      [['airplane', 'warplane'], 1],
      [['ambassador', 'worker'], 1],
      [['aminoglycosides', 'carbenicillin'], 0],
      [['aminoglycosides', 'cephalosporin'], 0],
      [['aminoglycosides', 'erythromycin'], 0],
      [['aminoglycosides', 'rifampin'], 0],
      [['aminoglycosides', 'tetracycline'], 0],
      [['amphetamine', 'anxiety'], 0],
      [['amphetamine', 'irritability'], 0],
      [['analgesic', 'azathioprine'], 0],
      [['analgesic', 'child'], 0],
      [['analgesic', 'codeine'], 0],
      [['analgesic', 'diet'], 0],
      [['analgesic', 'massage'], 0],
      [['analgesic', 'peristalsis'], 0],
      [['analgesic', 'stress'], 0],
      [['analgesic', 'verapamil'], 0],
      [['ancestor', 'motto'], 0],
      [['androgen', 'dehydroepiandrosterone'], 0],
      [['androgen', 'diet'], 0],
      [['androgen', 'oestradiol'], 0],
      [['androgen', 'pregnenolone'], 0],
      [['androgen', 'stress'], 0],
      [['androgen', 'testosterone'], 0],
      [['androgen', 'woman'], 0],
      [['anemia', 'bleeding'], 0],
      [['anemia', 'bronchospasm'], 0],
      [['anemia', 'depression'], 0],
      [['anemia', 'haematemesis'], 0],
      [['anemia', 'nausea'], 0],
      [['anemia', 'rash'], 0],
      [['anemia', 'tenosynovitis'], 0],
      [['angina', 'actinomycosis'], 0],
      [['angina', 'cellulitis'], 0],
      [['angina', 'meningitis'], 0],
      [['angina', 'nephrosis'], 0],
      [['angina', 'neurosyphilis'], 0],
      [['angina', 'pharyngitis'], 0],
      [['angina', 'syphilis'], 0],
      [['angina', 'yaw'], 0],
      [['angiogenesis', 'erythropoiesis'], 0],
      [['anhydrase', 'enolase'], 0],
      [['ankle', 'wrist'], 0],
      [['anxiety', 'abstinence'], 0],
      [['anxiety', 'amphetamine'], 0],
      [['anxiety', 'arteritis'], 0],
      [['anxiety', 'depression'], 0],
      [['anxiety', 'dizziness'], 0],
      [['anxiety', 'fatigue'], 0],
      [['anxiety', 'hyperthyroidism'], 0],
      [['anxiety', 'irritability'], 1],
      [['anxiety', 'itching'], 0],
      [['anxiety', 'jitteriness'], 1],
      [['anxiety', 'meningitis'], 0],
      [['anxiety', 'nausea'], 0],
      [['anxiety', 'reading'], 0],
      [['anxiety', 'stress'], 1],
      [['anxiety', 'syphilis'], 0],
      [['anxiety', 'tumour'], 0],
      [['anxiety', 'vasoconstriction'], 0],
      [['appendicitis', 'meningitis'], 0],
      [['apples', 'fruit'], 1],
      [['arteritis', 'anxiety'], 0],
      [['arteritis', 'encephalopathy'], 0],
      [['arteritis', 'hunger'], 0],
      [['arteritis', 'hypoglycemia'], 0],
      [['arteritis', 'meningitis'], 0],
      [['arteritis', 'stress'], 0],
      [['arteritis', 'syphilis'], 0],
      [['arteritis', 'tumour'], 0],
      [['aspect', 'element'], 1],
      [['aspiration', 'atelectasis'], 0],
      [['aspiration', 'bacillus'], 0],
      [['aspiration', 'bacteria'], 0],
      [['aspiration', 'cough'], 0],
      [['aspiration', 'meningitis'], 0],
      [['aspiration', 'streptococcus'], 0],
      [['assortment', 'collection'], 1],
      [['atelectasis', 'aspiration'], 0],
      [['atelectasis', 'cough'], 0],
      [['atrophy', 'chorioretinitis'], 0],
      [['atrophy', 'insanity'], 0],
      [['atrophy', 'neuritis'], 0],
      [['atrophy', 'papillitis'], 0],
      [['atrophy', 'paresis'], 1],
      [['attack', 'strategy'], 1],
      [['authority', 'government'], 0],
      [['availability', 'liquidity'], 0],
      [['azalea', 'bush'], 1],
      [['azathioprine', 'analgesic'], 0],
      [['bacillus', 'aspiration'], 0],
      [['bacillus', 'bacteria'], 1],
      [['bacillus', 'bacterium'], 1],
      [['bacillus', 'fungi'], 0],
      [['bacillus', 'neurotoxin'], 0],
      [['bacillus', 'streptococcus'], 0],
      [['bacillus', 'toxin'], 0],
      [['bacteria', 'aspiration'], 0],
      [['bacteria', 'bacillus'], 0],
      [['bacteria', 'bacterium'], 1],
      [['bacteria', 'cellulitis'], 0],
      [['bacteria', 'diet'], 0],
      [['bacteria', 'disease'], 1],
      [['bacteria', 'fungi'], 0],
      [['bacteria', 'illness'], 1],
      [['bacteria', 'lactase'], 0],
      [['bacteria', 'meningitis'], 0],
      [['bacteria', 'neurotoxin'], 0],
      [['bacteria', 'peritonitis'], 0],
      [['bacteria', 'streptococcus'], 0],
      [['bacteria', 'syphilis'], 0],
      [['bacteria', 'toxin'], 0],
      [['bacterium', 'bacillus'], 0],
      [['bacterium', 'bacteria'], 1],
      [['bacterium', 'neurotoxin'], 0],
      [['bacterium', 'toxin'], 0],
      [['bag', 'bottle'], 0],
      [['bag', 'cent'], 0],
      [['bag', 'circumcision'], 0],
      [['bag', 'condition'], 0],
      [['bag', 'content'], 0],
      [['bag', 'key'], 0],
      [['bag', 'luggage'], 1],
      [['bag', 'parting'], 0],
      [['bag', 'trunk'], 0],
      [['bag', 'wash'], 0],
      [['balloon', 'aircraft'], 1],
      [['beach', 'sand'], 1],
      [['bed', 'bookcase'], 0],
      [['bed', 'compilation'], 0],
      [['bed', 'promoter'], 0],
      [['bed', 'security'], 0],
      [['bed', 'sofa'], 0],
      [['bed', 'wood'], 0],
      [['bed', 'yarn'], 0],
      [['bee', 'invertebrate'], 1],
      [['benzene', 'hydrocarbon'], 1],
      [['benzene', 'tent'], 0],
      [['berry', 'fruit'], 1],
      [['bib', 'fabric'], 1],
      [['big', 'large'], 1],
      [['bingo', 'game'], 1],
      [['bird', 'lips'], 0],
      [['bird', 'seabird'], 0],
      [['bird', 'woman'], 0],
      [['bitterness', 'emotion'], 1],
      [['bleeding', 'anemia'], 0],
      [['bleeding', 'bronchospasm'], 0],
      [['bleeding', 'depression'], 0],
      [['bleeding', 'diet'], 0],
      [['bleeding', 'fatigue'], 0],
      [['bleeding', 'haematemesis'], 0],
      [['bleeding', 'nausea'], 0],
      [['bleeding', 'pallor'], 0],
      [['bleeding', 'parasite'], 0],
      [['bleeding', 'pregnancy'], 0],
      [['bleeding', 'tapeworm'], 0],
      [['boat', 'ship'], 1],
      [['bomb', 'Kalashnikov'], 0],
      [['bomb', 'agent'], 0],
      [['bomb', 'bow'], 0],
      [['bomb', 'daybreak'], 0],
      [['bomb', 'device'], 1],
      [['bomb', 'disease'], 0],
      [['bomb', 'droplet'], 0],
      [['bomb', 'exam'], 0],
      [['bomb', 'grenade'], 0],
      [['bomb', 'kalashnikov'], 0],
      [['bomb', 'limitation'], 0],
      [['bomb', 'luscan'], 0],
      [['bomb', 'meal'], 0],
      [['bomb', 'pike'], 0],
      [['bomb', 'revolver'], 0],
      [['bomb', 'steel'], 0],
      [['bomb', 'trip'], 0],
      [['bomb', 'warplane'], 0],
      [['bomber', 'aeroplane'], 1],
      [['bomber', 'aircraft'], 1],
      [['bomber', 'airplane'], 1],
      [['bomber', 'aunt'], 0],
      [['bomber', 'bomb'], 0],
      [['bomber', 'brake'], 0],
      [['bomber', 'bus'], 0],
      [['bomber', 'captain'], 0],
      [['bomber', 'catastrophe'], 0],
      [['bomber', 'census'], 0],
      [['bomber', 'craft'], 1],
      [['bomber', 'crew'], 0],
      [['bomber', 'finance'], 0],
      [['bomber', 'law'], 0],
      [['bomber', 'ownership'], 0],
      [['bomber', 'plinth'], 0],
      [['bomber', 'rear'], 0],
      [['bomber', 'rocket'], 0],
      [['bomber', 'rudder'], 0],
      [['bomber', 'seat'], 0],
      [['bomber', 'steel'], 0],
      [['bomber', 'tanker'], 0],
      [['bomber', 'tubing'], 0],
      [['bomber', 'warplane'], 1],
      [['bomber', 'west'], 0],
      [['bookcase', 'balcony'], 0],
      [['bookcase', 'bed'], 0],
      [['bookcase', 'boxer'], 0],
      [['bookcase', 'cash'], 0],
      [['bookcase', 'centre'], 0],
      [['bookcase', 'contravention'], 0],
      [['bookcase', 'garrison'], 0],
      [['bookcase', 'shelf'], 1],
      [['bookcase', 'sofa'], 0],
      [['bookcase', 'wood'], 0],
      [['books', 'library'], 0],
      [['bottle', 'bag'], 0],
      [['bottle', 'cap'], 0],
      [['bottle', 'chalice'], 0],
      [['bottle', 'content'], 0],
      [['bottle', 'glass'], 0],
      [['bottle', 'label'], 0],
      [['bottle', 'lid'], 0],
      [['bottle', 'limitation'], 0],
      [['bottle', 'microphone'], 0],
      [['bottle', 'process'], 0],
      [['bottle', 'profit'], 0],
      [['bottle', 'rd'], 0],
      [['bottle', 'readership'], 0],
      [['bottle', 'summit'], 0],
      [['bottle', 'tail-spin'], 0],
      [['bottle', 'tumbler'], 0],
      [['bowling', 'game'], 1],
      [['bps', 'warplane'], 1],
      [['breakdown', 'element'], 0],
      [['breaker', 'worker'], 1],
      [['bronchospasm', 'anemia'], 0],
      [['bronchospasm', 'bleeding'], 0],
      [['bronchospasm', 'haematemesis'], 0],
      [['bronchospasm', 'nausea'], 0],
      [['buffalo', 'mammal'], 1],
      [['buggy', 'garment'], 0],
      [['bumper', 'ding'], 0],
      [['bunch', 'grape'], 1],
      [['bus', 'accelerator'], 0],
      [['bus', 'bike'], 0],
      [['bus', 'bomber'], 0],
      [['bus', 'brake'], 0],
      [['bus', 'bumper'], 0],
      [['bus', 'census'], 0],
      [['bus', 'cheetah'], 0],
      [['bus', 'daughter'], 0],
      [['bus', 'field'], 0],
      [['bus', 'flagship'], 0],
      [['bus', 'heading'], 0],
      [['bus', 'headlight'], 0],
      [['bus', 'hobby'], 0],
      [['bus', 'horn'], 0],
      [['bus', 'immigration'], 0],
      [['bus', 'lamp'], 0],
      [['bus', 'library'], 0],
      [['bus', 'magazine'], 0],
      [['bus', 'microwave'], 0],
      [['bus', 'moped'], 0],
      [['bus', 'mother'], 0],
      [['bus', 'petrol'], 0],
      [['bus', 'radiation'], 0],
      [['bus', 'radio'], 0],
      [['bus', 'ragtime'], 0],
      [['bus', 'rear'], 0],
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      [['hat', 'glove'], 0],
      [['hat', 'guild'], 0],
      [['hat', 'impunity'], 0],
      [['hat', 'ingrate'], 0],
      [['hat', 'instrumentation'], 0],
      [['hat', 'jacket'], 0],
      [['hat', 'jury'], 0],
      [['hat', 'meal'], 0],
      [['hat', 'olisten'], 0],
      [['hat', 'photographer'], 0],
      [['hat', 'pullover'], 0],
      [['hat', 'scarf'], 0],
      [['hat', 'sultan'], 0],
      [['hat', 'summit'], 0],
      [['hat', 'sushi'], 0],
      [['hat', 'trip'], 0],
      [['hat', 'underpants'], 0],
      [['hat', 'vest'], 0],
      [['hat', 'wear'], 1],
      [['heal', 'injure'], 0],
      [['heart', 'cns'], 0],
      [['heart', 'cyclase'], 0],
      [['heart', 'vasoconstriction'], 0],
      [['hedge', 'fence'], 0],
      [['hen', 'bird'], 1],
      [['herpes', 'disease'], 1],
      [['highway', 'road'], 1],
      [['honest', 'liar'], 0],
      [['hop', 'rabbit'], 0],
      [['horse', 'benediction'], 0],
      [['horse', 'chordate'], 1],
      [['horse', 'circle'], 0],
      [['horse', 'dice'], 0],
      [['horse', 'eye'], 0],
      [['horse', 'foot'], 0],
      [['horse', 'gathering'], 0],
      [['horse', 'hoof'], 0],
      [['horse', 'horseback'], 0],
      [['horse', 'mammal'], 1],
      [['horse', 'mule'], 0],
      [['horse', 'muzzle'], 0],
      [['horse', 'nose'], 0],
      [['horse', 'outfit'], 0],
      [['horse', 'pike'], 0],
      [['horse', 'rabbit'], 0],
      [['horse', 'seaplane'], 0],
      [['horse', 'sheep'], 0],
      [['horse', 'star'], 0],
      [['horse', 'tiger'], 0],
      [['horse', 'wanderer'], 0],
      [['horse', 'whale'], 0],
      [['host', 'hostess'], 0],
      [['hostess', 'host'], 1],
      [['humanity', 'sentence'], 0],
      [['hunger', 'arteritis'], 0],
      [['hunger', 'dizziness'], 0],
      [['hunger', 'hypoglycemia'], 0],
      [['hunger', 'irritability'], 0],
      [['hunger', 'meningitis'], 0],
      [['hunger', 'nausea'], 0],
      [['hunger', 'starving'], 0],
      [['hunger', 'stress'], 0],
      [['hunger', 'syphilis'], 0],
      [['hunger', 'tumour'], 0],
      [['hurting', 'comfort'], 0],
      [['hyperthyroidism', 'anxiety'], 0],
      [['hyperthyroidism', 'depression'], 0],
      [['hypnotic', 'trazodone'], 0],
      [['hypoglycemia', 'arteritis'], 0],
      [['hypoglycemia', 'hunger'], 0],
      [['hypoglycemia', 'meningitis'], 0],
      [['hypoglycemia', 'stress'], 0],
      [['hypoglycemia', 'syphilis'], 0],
      [['hypoglycemia', 'tumour'], 0],
      [['illness', 'asylum'], 0],
      [['illness', 'bacteria'], 0],
      [['illness', 'cellulitis'], 0],
      [['illness', 'digit'], 0],
      [['illness', 'disease'], 1],
      [['illness', 'fungi'], 0],
      [['illness', 'meningitis'], 0],
      [['illness', 'peritonitis'], 0],
      [['illness', 'rubella'], 0],
      [['illness', 'syphilis'], 0],
      [['illness', 'tumour'], 0],
      [['import', 'goods'], 0],
      [['information', 'corporation'], 0],
      [['information', 'disease'], 0],
      [['information', 'documentation'], 0],
      [['information', 'surgeon'], 0],
      [['infrastructure', 'management'], 0],
      [['injure', 'heal'], 0],
      [['insanity', 'atrophy'], 0],
      [['insanity', 'chorioretinitis'], 0],
      [['insanity', 'neuritis'], 1],
      [['insanity', 'papillitis'], 0],
      [['insanity', 'paresis'], 0],
      [['insist', 'assert'], 1],
      [['instrument', 'violin'], 0],
      [['internment', 'captivity'], 1],
      [['intranet', 'system'], 1],
      [['investment', 'transaction'], 1],
      [['irreparable', 'fixed'], 0],
      [['irritability', 'amphetamine'], 0],
      [['irritability', 'anxiety'], 1],
      [['irritability', 'depression'], 0],
      [['irritability', 'dizziness'], 0],
      [['irritability', 'fatigue'], 0],
      [['irritability', 'hunger'], 0],
      [['irritability', 'jitteriness'], 1],
      [['irritability', 'meningitis'], 0],
      [['irritability', 'nausea'], 0],
      [['irritability', 'stress'], 1],
      [['irritability', 'vasoconstriction'], 0],
      [['itching', 'anxiety'], 0],
      [['itching', 'nausea'], 0],
      [['itching', 'rash'], 0],
      [['itching', 'rhinorrhea'], 0],
      [['item', 'goods'], 0],
      [['iv', 'digit'], 1],
      [['ix', 'digit'], 1],
      [['jacket', 'Anti-Terrorism'], 0],
      [['jacket', 'button'], 0],
      [['jacket', 'cloak'], 0],
      ...],
     'macro-F1': 0.5962248547407661,
     'vector_func': <function __main__.glove_vec(w)>,
     'vector_combo_func': <function __main__.vec_concatenate(u, v)>}

```python
nli.wordentail_experiment(
    train_data=wordentail_data['train'],
    assess_data=wordentail_data['dev'],
    model=TorchDeepNeuralClassifier(early_stopping=True),
    vector_func=glove_vec,
    vector_combo_func=vec_diff)
```

    Stopping after epoch 23. Validation score did not improve by tol=1e-05 for more than 10 epochs. Final error is 3.1543265283107758

                  precision    recall  f1-score   support

               0      0.853     0.949     0.899      1732
               1      0.367     0.153     0.216       334

        accuracy                          0.820      2066
       macro avg      0.610     0.551     0.557      2066
    weighted avg      0.775     0.820     0.788      2066

    {'model': TorchDeepNeuralClassifier(
     	batch_size=1028,
     	max_iter=1000,
     	eta=0.001,
     	optimizer_class=<class 'torch.optim.adam.Adam'>,
     	l2_strength=0,
     	gradient_accumulation_steps=1,
     	max_grad_norm=None,
     	validation_fraction=0.1,
     	early_stopping=True,
     	n_iter_no_change=10,
     	warm_start=False,
     	tol=1e-05,
     	hidden_dim=50,
     	hidden_activation=Tanh()),
     'train_data': [[['abode', 'house'], 1],
      [['abortion', 'anaemia'], 0],
      [['abortion', 'aneurysm'], 0],
      [['abortion', 'blindness'], 0],
      [['abortion', 'deafness'], 0],
      [['abortion', 'death'], 0],
      [['abortion', 'headache'], 0],
      [['abortion', 'hemiplegia'], 0],
      [['abortion', 'lesion'], 0],
      [['abortion', 'pain'], 0],
      [['abortion', 'palsy'], 0],
      [['abortion', 'paralysis'], 0],
      [['abortion', 'rickets'], 0],
      [['abortion', 'sore'], 0],
      [['abortion', 'stenosis'], 0],
      [['abortion', 'sterility'], 0],
      [['abortion', 'ulcer'], 0],
      [['abrasion', 'wound'], 1],
      [['abscess', 'alcohol'], 0],
      [['abscess', 'aneurysm'], 0],
      [['abscess', 'anthrax'], 0],
      [['abscess', 'bacteremia'], 0],
      [['abscess', 'bite'], 0],
      [['abscess', 'bronchitis'], 0],
      [['abscess', 'catarrh'], 0],
      [['abscess', 'cervicitis'], 0],
      [['abscess', 'chill'], 0],
      [['abscess', 'contraction'], 0],
      [['abscess', 'death'], 0],
      [['abscess', 'effusion'], 0],
      [['abscess', 'empyema'], 0],
      [['abscess', 'exertion'], 0],
      [['abscess', 'fever'], 0],
      [['abscess', 'gangrene'], 0],
      [['abscess', 'gonorrhea'], 0],
      [['abscess', 'haemorrhage'], 0],
      [['abscess', 'hematoma'], 0],
      [['abscess', 'hypertension'], 0],
      [['abscess', 'ingestion'], 0],
      [['abscess', 'injury'], 0],
      [['abscess', 'intoxication'], 0],
      [['abscess', 'lesion'], 0],
      [['abscess', 'measles'], 0],
      [['abscess', 'migraine'], 0],
      [['abscess', 'necrosis'], 0],
      [['abscess', 'pain'], 0],
      [['abscess', 'pleurisy'], 0],
      [['abscess', 'sinusitis'], 0],
      [['abscess', 'sputum'], 0],
      [['abscess', 'strain'], 0],
      [['abscess', 'symptom'], 1],
      [['abscess', 'vomiting'], 0],
      [['abundance', 'destitution'], 0],
      [['abuse', 'allegation'], 0],
      [['abuse', 'beating'], 0],
      [['abuse', 'complaint'], 0],
      [['abuse', 'conspiracy'], 0],
      [['abuse', 'death'], 0],
      [['abuse', 'drug'], 0],
      [['abuse', 'exploitation'], 0],
      [['abuse', 'fraud'], 0],
      [['abuse', 'gang'], 0],
      [['abuse', 'involvement'], 1],
      [['abuse', 'irregularity'], 1],
      [['abuse', 'malpractice'], 0],
      [['abuse', 'massacre'], 0],
      [['abuse', 'molestation'], 0],
      [['abuse', 'offence'], 1],
      [['abuse', 'paedophilia'], 0],
      [['abuse', 'porn'], 0],
      [['abuse', 'prostitution'], 0],
      [['abuse', 'racism'], 0],
      [['abuse', 'rape'], 0],
      [['abuse', 'repression'], 0],
      [['abuse', 'scandal'], 0],
      [['abuse', 'shooting'], 0],
      [['abuse', 'smuggling'], 0],
      [['abuse', 'terrorism'], 0],
      [['abuse', 'violation'], 1],
      [['abuse', 'violence'], 0],
      [['acacia', 'birch'], 0],
      [['acacia', 'bole'], 0],
      [['acacia', 'connexion'], 0],
      [['acacia', 'cortex'], 0],
      [['acacia', 'crown'], 0],
      [['acacia', 'cypress'], 0],
      [['acacia', 'elm'], 0],
      [['acacia', 'flower'], 0],
      [['acacia', 'impact'], 0],
      [['acacia', 'leaf'], 0],
      [['acacia', 'live'], 0],
      [['acacia', 'manuscript'], 0],
      [['acacia', 'mezzo-soprano'], 0],
      [['acacia', 'moor'], 0],
      [['acacia', 'pine'], 0],
      [['acacia', 'plant'], 1],
      [['acacia', 'poplar'], 0],
      [['acacia', 're'], 0],
      [['acacia', 'root'], 0],
      [['acacia', 'spike'], 0],
      [['acacia', 'stump'], 0],
      [['acacia', 'treetop'], 0],
      [['access', 'treatment'], 0],
      [['accident', 'damage'], 1],
      [['accident', 'flemming'], 0],
      [['achlorhydria', 'hemolysis'], 0],
      [['achlorhydria', 'iron'], 0],
      [['achlorhydria', 'leukemia'], 0],
      [['achlorhydria', 'purpura'], 0],
      [['achlorhydria', 'thalassemia'], 0],
      [['achlorhydria', 'transfusion'], 0],
      [['achlorhydria', 'ulcer'], 0],
      [['acid', 'anticoagulant'], 0],
      [['acid', 'warfarin'], 0],
      [['acidosis', 'death'], 0],
      [['acidosis', 'fever'], 0],
      [['acne', 'adolescence'], 0],
      [['acne', 'aggression'], 0],
      [['acne', 'bacteremia'], 0],
      [['acne', 'bacteriuria'], 0],
      [['acne', 'bronchitis'], 0],
      [['acne', 'cholangitis'], 0],
      [['acne', 'cold'], 0],
      [['acne', 'conjunctivitis'], 0],
      [['acne', 'dacryocystitis'], 0],
      [['acne', 'dermatitis'], 0],
      [['acne', 'empyema'], 0],
      [['acne', 'fever'], 0],
      [['acne', 'furunculosis'], 0],
      [['acne', 'gastroenteritis'], 0],
      [['acne', 'gonorrhea'], 0],
      [['acne', 'hepatitis'], 0],
      [['acne', 'hyperplasia'], 0],
      [['acne', 'hypertrophy'], 0],
      [['acne', 'masculinization'], 0],
      [['acne', 'organism'], 0],
      [['acne', 'pathogen'], 0],
      [['acne', 'prostatitis'], 0],
      [['acne', 'std'], 0],
      [['acne', 'surgery'], 0],
      [['acne', 'ulcer'], 0],
      [['acquittal', 'ruling'], 1],
      [['active', 'tired'], 0],
      [['actor', 'audition'], 0],
      [['adhesiveness', 'fever'], 0],
      [['adhesiveness', 'headache'], 0],
      [['adhesiveness', 'pain'], 0],
      [['adjective', 'document'], 0],
      [['adjective', 'word'], 1],
      [['adolescence', 'acne'], 0],
      [['adolescent', 'face'], 0],
      [['adolescent', 'teen'], 1],
      [['adrenaline', 'integer'], 0],
      [['adrenaline', 'neurotransmitter'], 1],
      [['adult', 'librarian'], 0],
      [['advice', 'argument'], 0],
      [['advice', 'treatment'], 0],
      [['affection', 'feeling'], 1],
      [['affection', 'organization'], 0],
      [['affidavit', 'document'], 1],
      [['aggression', 'acne'], 0],
      [['aggression', 'aggressiveness'], 1],
      [['aggression', 'hyperplasia'], 0],
      [['aggression', 'hypertrophy'], 0],
      [['aggression', 'libido'], 0],
      [['aggression', 'masculinization'], 0],
      [['aggression', 'neuron'], 1],
      [['aggression', 'war'], 1],
      [['aggressiveness', 'aggression'], 1],
      [['agony', 'adult'], 0],
      [['agony', 'decoration'], 0],
      [['agony', 'feeling'], 1],
      [['agreement', 'bill'], 0],
      [['aid', 'death'], 0],
      [['aid', 'lysis'], 0],
      [['aid', 'treatment'], 1],
      [['aircrew', 'playlist'], 0],
      [['airport', 'complex'], 1],
      [['airport', 'terminal'], 1],
      [['alcohol', 'abscess'], 0],
      [['alcohol', 'aneurysm'], 0],
      [['alcohol', 'antidepressant'], 0],
      [['alcohol', 'aspirin'], 0],
      [['alcohol', 'buprenorphine'], 0],
      [['alcohol', 'catarrh'], 0],
      [['alcohol', 'cathartic'], 0],
      [['alcohol', 'contraction'], 0],
      [['alcohol', 'corticosteroid'], 0],
      [['alcohol', 'cortisol'], 0],
      [['alcohol', 'decongestant'], 0],
      [['alcohol', 'diarrhoea'], 0],
      [['alcohol', 'diuretic'], 0],
      [['alcohol', 'excitement'], 0],
      [['alcohol', 'exertion'], 0],
      [['alcohol', 'fentanyl'], 0],
      [['alcohol', 'fever'], 0],
      [['alcohol', 'haemorrhage'], 0],
      [['alcohol', 'hematoma'], 0],
      [['alcohol', 'hotel'], 0],
      [['alcohol', 'hypertension'], 0],
      [['alcohol', 'hypnosis'], 0],
      [['alcohol', 'indomethacin'], 0],
      [['alcohol', 'ingestion'], 0],
      [['alcohol', 'injury'], 0],
      [['alcohol', 'laxative'], 0],
      [['alcohol', 'lesion'], 0],
      [['alcohol', 'liqueur'], 0],
      [['alcohol', 'migraine'], 0],
      [['alcohol', 'morphine'], 0],
      [['alcohol', 'nsaid'], 0],
      [['alcohol', 'opiate'], 0],
      [['alcohol', 'opioids'], 0],
      [['alcohol', 'pain'], 0],
      [['alcohol', 'paracetamol'], 0],
      [['alcohol', 'party'], 0],
      [['alcohol', 'pentazocine'], 0],
      [['alcohol', 'phenacetin'], 0],
      [['alcohol', 'rest'], 0],
      [['alcohol', 'salicylate'], 0],
      [['alcohol', 'sinusitis'], 0],
      [['alcohol', 'strain'], 0],
      [['alcohol', 'sweating'], 0],
      [['alcohol', 'symptom'], 0],
      [['alcohol', 'vomiting'], 0],
      [['alcohol', 'withdrawal'], 0],
      [['alcoholic', 'fever'], 0],
      [['alcoholic', 'lung'], 0],
      [['alertness', 'arousal'], 1],
      [['alertness', 'circulation'], 0],
      [['alertness', 'endurance'], 0],
      [['alertness', 'responsiveness'], 1],
      [['alertness', 'stimulation'], 1],
      [['alertness', 'symptom'], 0],
      [['alive', 'destroy'], 0],
      [['alkaloid', 'antidepressant'], 0],
      [['alkaloid', 'aspirin'], 0],
      [['alkaloid', 'morphine'], 0],
      [['alkaloid', 'nsaid'], 0],
      [['alkaloid', 'opiate'], 0],
      [['alkaloid', 'opioids'], 0],
      [['alkaloid', 'paracetamol'], 0],
      [['alkaloid', 'propoxyphene'], 0],
      [['alkaloid', 'salicylate'], 0],
      [['allegation', 'abuse'], 0],
      [['allergy', 'anaphylaxis'], 0],
      [['allergy', 'asthma'], 0],
      [['allergy', 'breathing'], 1],
      [['allergy', 'conjunctivitis'], 0],
      [['allergy', 'food'], 0],
      [['allergy', 'rhinitis'], 0],
      [['allergy', 'symptom'], 0],
      [['allergy', 'urticaria'], 0],
      [['alligator', 'addition'], 0],
      [['alligator', 'alternative'], 0],
      [['alligator', 'animal'], 1],
      [['alligator', 'answer'], 0],
      [['alligator', 'arrears'], 0],
      [['alligator', 'beast'], 1],
      [['alligator', 'contestant'], 0],
      [['alligator', 'continent'], 0],
      [['alligator', 'courthouse'], 0],
      [['alligator', 'creature'], 1],
      [['alligator', 'crocodile'], 0],
      [['alligator', 'dock'], 0],
      [['alligator', 'jaw'], 0],
      [['alligator', 'leg'], 0],
      [['alligator', 'lizard'], 0],
      [['alligator', 'message'], 0],
      [['alligator', 'methyl'], 0],
      [['alligator', 'mouth'], 0],
      [['alligator', 'rectifier'], 0],
      [['alligator', 'skin'], 0],
      [['alligator', 'snake'], 0],
      [['alligator', 'st'], 0],
      [['alligator', 'tail'], 0],
      [['alligator', 'tooth'], 0],
      [['alligator', 'trombone'], 0],
      [['alligator', 'vertebrate'], 1],
      [['alligator', 'vitro'], 0],
      [['alopecia', 'gumma'], 0],
      [['alopecia', 'lesion'], 0],
      [['alopecia', 'pain'], 0],
      [['alopecia', 'palsy'], 0],
      [['alopecia', 'retinitis'], 0],
      [['alopecia', 'ulcer'], 0],
      [['alpha', 'symbol'], 1],
      [['amblyopia', 'hemiplegia'], 0],
      [['amblyopia', 'lightheadedness'], 0],
      [['amblyopia', 'palsy'], 0],
      [['ambulance', 'Saxon'], 0],
      [['ambulance', 'T'], 0],
      [['ambulance', 'ag'], 0],
      [['ambulance', 'air'], 0],
      [['ambulance', 'aqueduct'], 0],
      [['ambulance', 'artefact'], 1],
      [['ambulance', 'back'], 0],
      [['ambulance', 'bicycle'], 0],
      [['ambulance', 'bookstore'], 0],
      [['ambulance', 'caregiver'], 0],
      [['ambulance', 'clue'], 0],
      [['ambulance', 'compartment'], 0],
      [['ambulance', 'concentration'], 0],
      [['ambulance', 'constituent'], 0],
      [['ambulance', 'conveyance'], 1],
      [['ambulance', 'core'], 0],
      [['ambulance', 'crown'], 0],
      [['ambulance', 'denial'], 0],
      [['ambulance', 'driver'], 0],
      [['ambulance', 'education'], 0],
      [['ambulance', 'elasticity'], 0],
      [['ambulance', 'engine'], 0],
      [['ambulance', 'existance'], 0],
      [['ambulance', 'fender'], 0],
      [['ambulance', 'fighter'], 0],
      [['ambulance', 'front'], 0],
      [['ambulance', 'fuel'], 0],
      [['ambulance', 'furlong'], 0],
      [['ambulance', 'furnishing'], 0],
      [['ambulance', 'gap'], 0],
      [['ambulance', 'gas'], 0],
      [['ambulance', 'gear'], 0],
      [['ambulance', 'grill'], 0],
      [['ambulance', 'gymnasium'], 0],
      [['ambulance', 'idiophreak'], 0],
      [['ambulance', 'inside'], 0],
      [['ambulance', 'jet'], 0],
      [['ambulance', 'marketer'], 0],
      [['ambulance', 'mayor'], 0],
      [['ambulance', 'meadow'], 0],
      [['ambulance', 'medic'], 0],
      [['ambulance', 'metal'], 0],
      [['ambulance', 'mirror'], 0],
      [['ambulance', 'motorbike'], 0],
      [['ambulance', 'motorcycle'], 0],
      [['ambulance', 'oil'], 0],
      [['ambulance', 'passenger'], 0],
      [['ambulance', 'physical'], 0],
      [['ambulance', 'plate'], 0],
      [['ambulance', 'pottery'], 0],
      [['ambulance', 'pricing'], 0],
      [['ambulance', 'radiator'], 0],
      [['ambulance', 'rockabilly'], 0],
      [['ambulance', 'runner-up'], 0],
      [['ambulance', 'sauna'], 0],
      [['ambulance', 'siren'], 0],
      [['ambulance', 'spectrometer'], 0],
      [['ambulance', 'statue'], 0],
      [['ambulance', 'supplier'], 0],
      [['ambulance', 'testing'], 0],
      [['ambulance', 'theology'], 0],
      [['ambulance', 'tire'], 0],
      [['ambulance', 'tooth'], 0],
      [['ambulance', 'top'], 0],
      [['ambulance', 'trademark'], 0],
      [['ambulance', 'train'], 0],
      [['ambulance', 'truck'], 0],
      [['ambulance', 'van'], 0],
      [['ambulance', 'wasp'], 0],
      [['ambulance', 'web'], 0],
      [['ambulance', 'wheel'], 0],
      [['ambulance', 'windscreen'], 0],
      [['ambulance', 'windshield'], 0],
      [['ambulance', 'yacht'], 0],
      [['ambulance', 'yourselves'], 0],
      [['aminoglycoside', 'chloramphenicol'], 0],
      [['aminoglycoside', 'probenecid'], 0],
      [['aminoglycoside', 'procaine'], 0],
      [['aminoglycoside', 'streptomycin'], 0],
      [['amitriptyline', 'aspirin'], 0],
      [['amitriptyline', 'rest'], 0],
      [['amoxicillin', 'ampicillin'], 1],
      [['amoxicillin', 'chloramphenicol'], 0],
      [['amoxicillin', 'ciprofloxacin'], 0],
      [['amoxicillin', 'fluoroquinolones'], 0],
      [['amoxicillin', 'streptomycin'], 0],
      [['ampicillin', 'amoxicillin'], 1],
      [['ampicillin', 'antibiotic'], 1],
      [['ampicillin', 'chloramphenicol'], 0],
      [['ampicillin', 'ciprofloxacin'], 0],
      [['ampicillin', 'drug'], 1],
      [['ampicillin', 'fluoroquinolones'], 0],
      [['ampicillin', 'streptomycin'], 0],
      [['ampicillin', 'vancomycin'], 0],
      [['anaemia', 'abortion'], 0],
      [['anaemia', 'headache'], 0],
      [['anaemia', 'lesion'], 0],
      [['anaemia', 'paralysis'], 0],
      [['anaemia', 'rickets'], 0],
      [['anaemia', 'ulcer'], 0],
      [['analgesia', 'fever'], 0],
      [['analgesia', 'headache'], 0],
      [['analgesia', 'pain'], 1],
      [['analgesia', 'sedation'], 0],
      [['anaphylaxis', 'allergy'], 1],
      [['anaphylaxis', 'antihistamine'], 0],
      [['anaphylaxis', 'conjunctivitis'], 0],
      [['anaphylaxis', 'rhinitis'], 0],
      [['anaphylaxis', 'symptom'], 0],
      [['anaphylaxis', 'urticaria'], 0],
      [['anatomy', 'bodies'], 1],
      [['ancient', 'modern'], 0],
      [['aneurysm', 'abortion'], 0],
      [['aneurysm', 'abscess'], 0],
      [['aneurysm', 'alcohol'], 0],
      [['aneurysm', 'blindness'], 0],
      [['aneurysm', 'catarrh'], 0],
      [['aneurysm', 'contraction'], 0],
      [['aneurysm', 'deafness'], 0],
      [['aneurysm', 'death'], 0],
      [['aneurysm', 'disorder'], 1],
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      [['bill', 'reform'], 0],
      [['bill', 'regulation'], 1],
      [['bill', 'repo'], 0],
      [['bill', 'resolution'], 0],
      [['bill', 'rule'], 1],
      [['bill', 'scheme'], 1],
      [['bill', 'settlement'], 1],
      [['bill', 'text'], 1],
      [['bill', 'treaty'], 0],
      [['bin', 'mail'], 0],
      [['birch', 'ITN'], 0],
      [['birch', 'acacia'], 0],
      [['birch', 'artery'], 0],
      [['birch', 'ballast'], 0],
      ...],
     'assess_data': [[['abbey', 'nun'], 1],
      [['absolve', 'sinner'], 1],
      [['abstinence', 'anxiety'], 0],
      [['abstinence', 'depression'], 0],
      [['abstinence', 'stress'], 0],
      [['acetaminophen', 'camphor'], 0],
      [['acetaminophen', 'codeine'], 0],
      [['acetaminophen', 'methadone'], 0],
      [['acetaminophen', 'phenylbutazone'], 0],
      [['acetaminophen', 'trichloroethylene'], 0],
      [['actinomycosis', 'angina'], 0],
      [['actinomycosis', 'cellulitis'], 0],
      [['actinomycosis', 'meningitis'], 0],
      [['actinomycosis', 'nephrosis'], 0],
      [['actinomycosis', 'neurosyphilis'], 0],
      [['actinomycosis', 'pharyngitis'], 0],
      [['actinomycosis', 'syphilis'], 0],
      [['actinomycosis', 'yaw'], 0],
      [['activist', 'federation'], 0],
      [['administration', 'government'], 1],
      [['administration', 'management'], 1],
      [['adorable', 'cute'], 1],
      [['advisories', 'federation'], 0],
      [['aerospace', 'management'], 1],
      [['agenda', 'element'], 0],
      [['aircraft', 'bomber'], 0],
      [['aircraft', 'warplane'], 1],
      [['airplane', 'bomber'], 0],
      [['airplane', 'warplane'], 1],
      [['ambassador', 'worker'], 1],
      [['aminoglycosides', 'carbenicillin'], 0],
      [['aminoglycosides', 'cephalosporin'], 0],
      [['aminoglycosides', 'erythromycin'], 0],
      [['aminoglycosides', 'rifampin'], 0],
      [['aminoglycosides', 'tetracycline'], 0],
      [['amphetamine', 'anxiety'], 0],
      [['amphetamine', 'irritability'], 0],
      [['analgesic', 'azathioprine'], 0],
      [['analgesic', 'child'], 0],
      [['analgesic', 'codeine'], 0],
      [['analgesic', 'diet'], 0],
      [['analgesic', 'massage'], 0],
      [['analgesic', 'peristalsis'], 0],
      [['analgesic', 'stress'], 0],
      [['analgesic', 'verapamil'], 0],
      [['ancestor', 'motto'], 0],
      [['androgen', 'dehydroepiandrosterone'], 0],
      [['androgen', 'diet'], 0],
      [['androgen', 'oestradiol'], 0],
      [['androgen', 'pregnenolone'], 0],
      [['androgen', 'stress'], 0],
      [['androgen', 'testosterone'], 0],
      [['androgen', 'woman'], 0],
      [['anemia', 'bleeding'], 0],
      [['anemia', 'bronchospasm'], 0],
      [['anemia', 'depression'], 0],
      [['anemia', 'haematemesis'], 0],
      [['anemia', 'nausea'], 0],
      [['anemia', 'rash'], 0],
      [['anemia', 'tenosynovitis'], 0],
      [['angina', 'actinomycosis'], 0],
      [['angina', 'cellulitis'], 0],
      [['angina', 'meningitis'], 0],
      [['angina', 'nephrosis'], 0],
      [['angina', 'neurosyphilis'], 0],
      [['angina', 'pharyngitis'], 0],
      [['angina', 'syphilis'], 0],
      [['angina', 'yaw'], 0],
      [['angiogenesis', 'erythropoiesis'], 0],
      [['anhydrase', 'enolase'], 0],
      [['ankle', 'wrist'], 0],
      [['anxiety', 'abstinence'], 0],
      [['anxiety', 'amphetamine'], 0],
      [['anxiety', 'arteritis'], 0],
      [['anxiety', 'depression'], 0],
      [['anxiety', 'dizziness'], 0],
      [['anxiety', 'fatigue'], 0],
      [['anxiety', 'hyperthyroidism'], 0],
      [['anxiety', 'irritability'], 1],
      [['anxiety', 'itching'], 0],
      [['anxiety', 'jitteriness'], 1],
      [['anxiety', 'meningitis'], 0],
      [['anxiety', 'nausea'], 0],
      [['anxiety', 'reading'], 0],
      [['anxiety', 'stress'], 1],
      [['anxiety', 'syphilis'], 0],
      [['anxiety', 'tumour'], 0],
      [['anxiety', 'vasoconstriction'], 0],
      [['appendicitis', 'meningitis'], 0],
      [['apples', 'fruit'], 1],
      [['arteritis', 'anxiety'], 0],
      [['arteritis', 'encephalopathy'], 0],
      [['arteritis', 'hunger'], 0],
      [['arteritis', 'hypoglycemia'], 0],
      [['arteritis', 'meningitis'], 0],
      [['arteritis', 'stress'], 0],
      [['arteritis', 'syphilis'], 0],
      [['arteritis', 'tumour'], 0],
      [['aspect', 'element'], 1],
      [['aspiration', 'atelectasis'], 0],
      [['aspiration', 'bacillus'], 0],
      [['aspiration', 'bacteria'], 0],
      [['aspiration', 'cough'], 0],
      [['aspiration', 'meningitis'], 0],
      [['aspiration', 'streptococcus'], 0],
      [['assortment', 'collection'], 1],
      [['atelectasis', 'aspiration'], 0],
      [['atelectasis', 'cough'], 0],
      [['atrophy', 'chorioretinitis'], 0],
      [['atrophy', 'insanity'], 0],
      [['atrophy', 'neuritis'], 0],
      [['atrophy', 'papillitis'], 0],
      [['atrophy', 'paresis'], 1],
      [['attack', 'strategy'], 1],
      [['authority', 'government'], 0],
      [['availability', 'liquidity'], 0],
      [['azalea', 'bush'], 1],
      [['azathioprine', 'analgesic'], 0],
      [['bacillus', 'aspiration'], 0],
      [['bacillus', 'bacteria'], 1],
      [['bacillus', 'bacterium'], 1],
      [['bacillus', 'fungi'], 0],
      [['bacillus', 'neurotoxin'], 0],
      [['bacillus', 'streptococcus'], 0],
      [['bacillus', 'toxin'], 0],
      [['bacteria', 'aspiration'], 0],
      [['bacteria', 'bacillus'], 0],
      [['bacteria', 'bacterium'], 1],
      [['bacteria', 'cellulitis'], 0],
      [['bacteria', 'diet'], 0],
      [['bacteria', 'disease'], 1],
      [['bacteria', 'fungi'], 0],
      [['bacteria', 'illness'], 1],
      [['bacteria', 'lactase'], 0],
      [['bacteria', 'meningitis'], 0],
      [['bacteria', 'neurotoxin'], 0],
      [['bacteria', 'peritonitis'], 0],
      [['bacteria', 'streptococcus'], 0],
      [['bacteria', 'syphilis'], 0],
      [['bacteria', 'toxin'], 0],
      [['bacterium', 'bacillus'], 0],
      [['bacterium', 'bacteria'], 1],
      [['bacterium', 'neurotoxin'], 0],
      [['bacterium', 'toxin'], 0],
      [['bag', 'bottle'], 0],
      [['bag', 'cent'], 0],
      [['bag', 'circumcision'], 0],
      [['bag', 'condition'], 0],
      [['bag', 'content'], 0],
      [['bag', 'key'], 0],
      [['bag', 'luggage'], 1],
      [['bag', 'parting'], 0],
      [['bag', 'trunk'], 0],
      [['bag', 'wash'], 0],
      [['balloon', 'aircraft'], 1],
      [['beach', 'sand'], 1],
      [['bed', 'bookcase'], 0],
      [['bed', 'compilation'], 0],
      [['bed', 'promoter'], 0],
      [['bed', 'security'], 0],
      [['bed', 'sofa'], 0],
      [['bed', 'wood'], 0],
      [['bed', 'yarn'], 0],
      [['bee', 'invertebrate'], 1],
      [['benzene', 'hydrocarbon'], 1],
      [['benzene', 'tent'], 0],
      [['berry', 'fruit'], 1],
      [['bib', 'fabric'], 1],
      [['big', 'large'], 1],
      [['bingo', 'game'], 1],
      [['bird', 'lips'], 0],
      [['bird', 'seabird'], 0],
      [['bird', 'woman'], 0],
      [['bitterness', 'emotion'], 1],
      [['bleeding', 'anemia'], 0],
      [['bleeding', 'bronchospasm'], 0],
      [['bleeding', 'depression'], 0],
      [['bleeding', 'diet'], 0],
      [['bleeding', 'fatigue'], 0],
      [['bleeding', 'haematemesis'], 0],
      [['bleeding', 'nausea'], 0],
      [['bleeding', 'pallor'], 0],
      [['bleeding', 'parasite'], 0],
      [['bleeding', 'pregnancy'], 0],
      [['bleeding', 'tapeworm'], 0],
      [['boat', 'ship'], 1],
      [['bomb', 'Kalashnikov'], 0],
      [['bomb', 'agent'], 0],
      [['bomb', 'bow'], 0],
      [['bomb', 'daybreak'], 0],
      [['bomb', 'device'], 1],
      [['bomb', 'disease'], 0],
      [['bomb', 'droplet'], 0],
      [['bomb', 'exam'], 0],
      [['bomb', 'grenade'], 0],
      [['bomb', 'kalashnikov'], 0],
      [['bomb', 'limitation'], 0],
      [['bomb', 'luscan'], 0],
      [['bomb', 'meal'], 0],
      [['bomb', 'pike'], 0],
      [['bomb', 'revolver'], 0],
      [['bomb', 'steel'], 0],
      [['bomb', 'trip'], 0],
      [['bomb', 'warplane'], 0],
      [['bomber', 'aeroplane'], 1],
      [['bomber', 'aircraft'], 1],
      [['bomber', 'airplane'], 1],
      [['bomber', 'aunt'], 0],
      [['bomber', 'bomb'], 0],
      [['bomber', 'brake'], 0],
      [['bomber', 'bus'], 0],
      [['bomber', 'captain'], 0],
      [['bomber', 'catastrophe'], 0],
      [['bomber', 'census'], 0],
      [['bomber', 'craft'], 1],
      [['bomber', 'crew'], 0],
      [['bomber', 'finance'], 0],
      [['bomber', 'law'], 0],
      [['bomber', 'ownership'], 0],
      [['bomber', 'plinth'], 0],
      [['bomber', 'rear'], 0],
      [['bomber', 'rocket'], 0],
      [['bomber', 'rudder'], 0],
      [['bomber', 'seat'], 0],
      [['bomber', 'steel'], 0],
      [['bomber', 'tanker'], 0],
      [['bomber', 'tubing'], 0],
      [['bomber', 'warplane'], 1],
      [['bomber', 'west'], 0],
      [['bookcase', 'balcony'], 0],
      [['bookcase', 'bed'], 0],
      [['bookcase', 'boxer'], 0],
      [['bookcase', 'cash'], 0],
      [['bookcase', 'centre'], 0],
      [['bookcase', 'contravention'], 0],
      [['bookcase', 'garrison'], 0],
      [['bookcase', 'shelf'], 1],
      [['bookcase', 'sofa'], 0],
      [['bookcase', 'wood'], 0],
      [['books', 'library'], 0],
      [['bottle', 'bag'], 0],
      [['bottle', 'cap'], 0],
      [['bottle', 'chalice'], 0],
      [['bottle', 'content'], 0],
      [['bottle', 'glass'], 0],
      [['bottle', 'label'], 0],
      [['bottle', 'lid'], 0],
      [['bottle', 'limitation'], 0],
      [['bottle', 'microphone'], 0],
      [['bottle', 'process'], 0],
      [['bottle', 'profit'], 0],
      [['bottle', 'rd'], 0],
      [['bottle', 'readership'], 0],
      [['bottle', 'summit'], 0],
      [['bottle', 'tail-spin'], 0],
      [['bottle', 'tumbler'], 0],
      [['bowling', 'game'], 1],
      [['bps', 'warplane'], 1],
      [['breakdown', 'element'], 0],
      [['breaker', 'worker'], 1],
      [['bronchospasm', 'anemia'], 0],
      [['bronchospasm', 'bleeding'], 0],
      [['bronchospasm', 'haematemesis'], 0],
      [['bronchospasm', 'nausea'], 0],
      [['buffalo', 'mammal'], 1],
      [['buggy', 'garment'], 0],
      [['bumper', 'ding'], 0],
      [['bunch', 'grape'], 1],
      [['bus', 'accelerator'], 0],
      [['bus', 'bike'], 0],
      [['bus', 'bomber'], 0],
      [['bus', 'brake'], 0],
      [['bus', 'bumper'], 0],
      [['bus', 'census'], 0],
      [['bus', 'cheetah'], 0],
      [['bus', 'daughter'], 0],
      [['bus', 'field'], 0],
      [['bus', 'flagship'], 0],
      [['bus', 'heading'], 0],
      [['bus', 'headlight'], 0],
      [['bus', 'hobby'], 0],
      [['bus', 'horn'], 0],
      [['bus', 'immigration'], 0],
      [['bus', 'lamp'], 0],
      [['bus', 'library'], 0],
      [['bus', 'magazine'], 0],
      [['bus', 'microwave'], 0],
      [['bus', 'moped'], 0],
      [['bus', 'mother'], 0],
      [['bus', 'petrol'], 0],
      [['bus', 'radiation'], 0],
      [['bus', 'radio'], 0],
      [['bus', 'ragtime'], 0],
      [['bus', 'rear'], 0],
      [['bus', 'seat'], 0],
      [['bus', 'seatbelt'], 0],
      [['bus', 'steel'], 0],
      [['bus', 'tank'], 0],
      [['bus', 'tanker'], 0],
      [['bus', 'telly'], 0],
      [['bus', 'tractor'], 0],
      [['bus', 'trunk'], 0],
      [['bush', 'azalea'], 0],
      [['bushes', 'trap'], 1],
      [['calculation', 'temperature'], 0],
      [['cameraman', 'artist'], 1],
      [['camphor', 'acetaminophen'], 0],
      [['camphor', 'codeine'], 0],
      [['camphor', 'methadone'], 0],
      [['camphor', 'phenylbutazone'], 0],
      [['camphor', 'trichloroethylene'], 0],
      [['cancer', 'cytotoxicity'], 0],
      [['cancer', 'radical'], 0],
      [['captivity', 'internment'], 0],
      [['carbenicillin', 'aminoglycosides'], 0],
      [['carbenicillin', 'cephalosporin'], 0],
      [['carbenicillin', 'erythromycin'], 0],
      [['carbenicillin', 'rifampin'], 0],
      [['carbenicillin', 'tetracycline'], 0],
      [['carp', 'aide'], 0],
      [['carp', 'blight'], 0],
      [['carp', 'chordate'], 1],
      [['carp', 'cod'], 0],
      [['carp', 'disease'], 0],
      [['carp', 'eye'], 0],
      [['carp', 'fin'], 0],
      [['carp', 'fish'], 1],
      [['carp', 'goldfish'], 0],
      [['carp', 'grove'], 0],
      [['carp', 'salmon'], 0],
      [['carp', 'seafood'], 1],
      [['carp', 'temperature'], 0],
      [['carp', 'trouble'], 0],
      [['carp', 'trout'], 0],
      [['carp', 'whale'], 0],
      [['carpenter', 'worker'], 1],
      [['cars', 'racetrack'], 0],
      [['cash', 'liquidity'], 1],
      [['cashews', 'nuts'], 1],
      [['cashmere', 'goods'], 1],
      [['castigate', 'criticize'], 1],
      [['cathedral', 'altar'], 0],
      [['cathedral', 'amendment'], 0],
      [['cathedral', 'arch'], 0],
      [['cathedral', 'candle'], 0],
      [['cathedral', 'choir'], 0],
      [['cathedral', 'consumer'], 0],
      [['cathedral', 'diskette'], 0],
      [['cathedral', 'dividend'], 0],
      [['cathedral', 'edifice'], 1],
      [['cathedral', 'library'], 0],
      [['cathedral', 'lottery'], 0],
      [['cathedral', 'owner'], 0],
      [['cathedral', 'prejudice'], 0],
      [['cathedral', 'premise'], 0],
      [['cathedral', 'project'], 0],
      [['cathedral', 'pub'], 0],
      [['cathedral', 'restaurant'], 0],
      [['cathedral', 'result'], 0],
      [['cathedral', 'skyscraper'], 0],
      [['cathedral', 'strategy'], 0],
      [['cathedral', 'synagogue'], 0],
      [['cathedral', 'throughput'], 0],
      [['cathedral', 'villa'], 0],
      [['cathedral', 'vowel'], 0],
      [['caucus', 'gathering'], 1],
      [['cellist', 'performer'], 1],
      [['cellulitis', 'actinomycosis'], 0],
      [['cellulitis', 'angina'], 0],
      [['cellulitis', 'bacteria'], 0],
      [['cellulitis', 'disease'], 1],
      [['cellulitis', 'illness'], 1],
      [['cellulitis', 'meningitis'], 0],
      [['cellulitis', 'nephrosis'], 0],
      [['cellulitis', 'neurosyphilis'], 0],
      [['cellulitis', 'peritonitis'], 0],
      [['cellulitis', 'pharyngitis'], 0],
      [['cellulitis', 'syphilis'], 0],
      [['cellulitis', 'yaw'], 0],
      [['cephalosporin', 'aminoglycosides'], 0],
      [['cephalosporin', 'carbenicillin'], 0],
      [['cephalosporin', 'erythromycin'], 0],
      [['cephalosporin', 'rifampin'], 0],
      [['cephalosporin', 'tetracycline'], 0],
      [['chamber', 'federation'], 0],
      [['characteristic', 'element'], 1],
      [['cheese', 'cream'], 0],
      [['cheese', 'urine'], 0],
      [['child', 'analgesic'], 0],
      [['child', 'nanny'], 0],
      [['child', 'nausea'], 0],
      [['child', 'pericarditis'], 0],
      [['child', 'pregnancy'], 0],
      [['child', 'sherry'], 0],
      [['child', 'vaccine'], 0],
      [['chisel', 'EAST'], 0],
      [['chisel', 'handshake'], 0],
      [['chisel', 'item'], 0],
      [['chisel', 'lighthouse'], 0],
      [['chisel', 'nutcracker'], 0],
      [['chisel', 'pincer'], 0],
      [['chisel', 'plier'], 0],
      [['chisel', 'rake'], 0],
      [['chisel', 'rectification'], 0],
      [['chisel', 'serving'], 0],
      [['chisel', 'shovel'], 0],
      [['chisel', 'smaws'], 0],
      [['chisel', 'spoon'], 0],
      [['chisel', 'steel'], 0],
      [['chisel', 'temperature'], 0],
      [['chisel', 'trekking'], 0],
      [['chisel', 'website'], 0],
      [['chloride', 'nausea'], 0],
      [['chorioretinitis', 'atrophy'], 0],
      [['chorioretinitis', 'insanity'], 0],
      [['chorioretinitis', 'neuritis'], 0],
      [['chorioretinitis', 'papillitis'], 0],
      [['chorioretinitis', 'paresis'], 0],
      [['chun', 'sentence'], 0],
      [['city', 'urban'], 1],
      [['clarinet', 'boxer'], 0],
      [['clarinet', 'device'], 1],
      [['clarinet', 'fat'], 0],
      [['clarinet', 'glove'], 0],
      [['clarinet', 'hole'], 0],
      [['clarinet', 'horn'], 0],
      [['clarinet', 'instrument'], 1],
      [['clarinet', 'kazoo'], 0],
      [['clarinet', 'key'], 0],
      [['clarinet', 'sax'], 0],
      [['clarinet', 'storage'], 0],
      [['clarinet', 'violin'], 0],
      [['clarinet', 'wood'], 0],
      [['cloak', 'angling'], 0],
      [['cloak', 'by-election'], 0],
      [['cloak', 'cohort'], 0],
      [['cloak', 'contravention'], 0],
      [['cloak', 'fold'], 0],
      [['cloak', 'garment'], 1],
      [['cloak', 'glitch'], 0],
      [['cloak', 'glove'], 0],
      [['cloak', 'hat'], 0],
      [['cloak', 'humanity'], 0],
      [['cloak', 'jacket'], 0],
      [['cloak', 'material'], 0],
      [['cloak', 'pattern'], 0],
      [['cloak', 'pullover'], 0],
      [['cloak', 'scarf'], 0],
      [['cloak', 'syphilis'], 0],
      [['cloak', 'underpants'], 0],
      [['cloak', 'vest'], 0],
      [['cloak', 'wear'], 1],
      [['cloak', 'youngster'], 0],
      [['cns', 'heart'], 0],
      [['coal', 'goods'], 1],
      [['cod', 'bed'], 0],
      [['cod', 'bowler'], 0],
      [['cod', 'cancellation'], 0],
      [['cod', 'carp'], 0],
      [['cod', 'chordate'], 1],
      [['cod', 'eye'], 0],
      [['cod', 'fin'], 0],
      [['cod', 'fish'], 1],
      [['cod', 'gender'], 0],
      [['cod', 'goldfish'], 0],
      [['cod', 'incident'], 0],
      [['cod', 'salmon'], 0],
      [['cod', 'seafood'], 1],
      [['cod', 'splice'], 0],
      [['cod', 'trio'], 0],
      [['cod', 'trout'], 0],
      [['cod', 'urine'], 0],
      [['cod', 'whale'], 0],
      [['codeine', 'acetaminophen'], 0],
      [['codeine', 'analgesic'], 1],
      [['codeine', 'camphor'], 0],
      [['codeine', 'methadone'], 0],
      [['codeine', 'phenylbutazone'], 0],
      [['codeine', 'trichloroethylene'], 0],
      [['cola', 'stimulant'], 0],
      [['collection', 'parasite'], 0],
      [['compass', 'direction'], 1],
      [['compass', 'instrument'], 1],
      [['confederation', 'federation'], 1],
      [['confusion', 'cramp'], 0],
      [['confusion', 'depression'], 0],
      [['confusion', 'fatigue'], 0],
      [['confusion', 'weakness'], 0],
      [['consortium', 'federation'], 0],
      [['consortium', 'government'], 0],
      [['contraceptive', 'pill'], 1],
      [['conviction', 'sentence'], 0],
      [['cornerstone', 'element'], 1],
      [['costume', 'gender'], 1],
      [['cough', 'aspiration'], 0],
      [['cough', 'atelectasis'], 0],
      [['cough', 'illness'], 1],
      [['cough', 'meningitis'], 0],
      [['cough', 'mumps'], 0],
      [['cough', 'sickness'], 1],
      [['count', 'sentence'], 0],
      [['country', 'government'], 0],
      [['course', 'element'], 1],
      [['cows', 'animals'], 1],
      [['crack', 'glass'], 1],
      [['cramp', 'confusion'], 0],
      [['cramp', 'depression'], 0],
      [['cramp', 'fatigue'], 0],
      [['cramp', 'polycythemia'], 0],
      [['cramp', 'weakness'], 0],
      [['cream', 'cheese'], 0],
      [['cream', 'urine'], 0],
      [['credit', 'liquidity'], 0],
      [['crew', 'warplane'], 1],
      [['criticism', 'element'], 0],
      [['criticize', 'castigate'], 0],
      [['crude', 'goods'], 0],
      [['csf', 'lymphocyte'], 0],
      [['cute', 'adorable'], 1],
      [['cyclase', 'heart'], 0],
      [['cyclase', 'phosphorylase'], 0],
      [['cylinder', 'bottle'], 0],
      [['cytotoxicity', 'cancer'], 0],
      [['cytotoxicity', 'radical'], 0],
      [['dancer', 'autobiography'], 0],
      [['dead', 'rot'], 0],
      [['decrease', 'change'], 1],
      [['defection', 'federation'], 0],
      [['defiantly', 'cooperate'], 0],
      [['dehydroepiandrosterone', 'androgen'], 0],
      [['dehydroepiandrosterone', 'pregnenolone'], 0],
      [['depression', 'abstinence'], 0],
      [['depression', 'anemia'], 0],
      [['depression', 'anxiety'], 0],
      [['depression', 'bleeding'], 0],
      [['depression', 'confusion'], 0],
      [['depression', 'cramp'], 0],
      [['depression', 'disease'], 1],
      [['depression', 'dizziness'], 0],
      [['depression', 'fatigue'], 0],
      [['depression', 'hyperthyroidism'], 0],
      [['depression', 'irritability'], 0],
      [['depression', 'meningitis'], 0],
      [['depression', 'nausea'], 0],
      [['depression', 'rash'], 0],
      [['depression', 'stress'], 0],
      [['depression', 'tenosynovitis'], 0],
      [['depression', 'weakness'], 0],
      [['detective', 'policeman'], 1],
      [['diet', 'analgesic'], 0],
      [['diet', 'androgen'], 0],
      [['diet', 'bacteria'], 0],
      [['diet', 'bleeding'], 0],
      [['diet', 'fruit'], 0],
      [['diet', 'massage'], 0],
      [['diet', 'parasite'], 0],
      [['diet', 'peristalsis'], 0],
      [['diet', 'pregnancy'], 0],
      [['diet', 'stress'], 0],
      [['diet', 'tapeworm'], 0],
      [['diet', 'testosterone'], 0],
      [['diet', 'verapamil'], 0],
      [['digit', 'iv'], 0],
      [['digit', 'ix'], 0],
      [['ding', 'bumper'], 1],
      [['disdain', 'hatred'], 0],
      [['disease', 'bacteria'], 0],
      [['disease', 'cellulitis'], 0],
      [['disease', 'depression'], 0],
      [['disease', 'fungi'], 0],
      [['disease', 'gall'], 0],
      [['disease', 'herpes'], 0],
      [['disease', 'illness'], 1],
      [['disease', 'meningitis'], 0],
      [['disease', 'nausea'], 0],
      [['disease', 'oxidation'], 0],
      [['disease', 'peritonitis'], 0],
      [['disease', 'radical'], 0],
      [['disease', 'rubella'], 0],
      [['disease', 'sickness'], 1],
      [['disease', 'syphilis'], 0],
      [['disgusting', 'tasty'], 0],
      [['distortion', 'liquidity'], 0],
      [['divide', 'parts'], 1],
      [['dizziness', 'anxiety'], 0],
      [['dizziness', 'depression'], 0],
      [['dizziness', 'hunger'], 0],
      [['dizziness', 'irritability'], 0],
      [['dizziness', 'meningitis'], 0],
      [['dizziness', 'nausea'], 0],
      [['dizziness', 'rash'], 0],
      [['dizziness', 'stress'], 0],
      [['documentation', 'information'], 1],
      [['earth', 'planet'], 1],
      [['editor', 'worker'], 1],
      [['eggs', 'omelette'], 0],
      [['electrician', 'worker'], 1],
      [['electricity', 'goods'], 0],
      [['element', 'agenda'], 0],
      [['element', 'aspect'], 1],
      [['element', 'breakdown'], 0],
      [['element', 'characteristic'], 1],
      [['element', 'cornerstone'], 1],
      [['element', 'course'], 0],
      [['element', 'criticism'], 0],
      [['element', 'legality'], 0],
      [['element', 'loosening'], 0],
      [['element', 'package'], 0],
      [['element', 'part'], 1],
      [['element', 'participation'], 0],
      [['element', 'purpose'], 0],
      [['element', 'understanding'], 0],
      [['eligibility', 'sentence'], 0],
      [['emotion', 'fright'], 0],
      [['encephalopathy', 'arteritis'], 0],
      [['encephalopathy', 'meningitis'], 0],
      [['encephalopathy', 'syphilis'], 0],
      [['encephalopathy', 'tumour'], 0],
      [['enolase', 'anhydrase'], 0],
      [['epilepsy', 'nausea'], 0],
      [['equipment', 'goods'], 1],
      [['equipment', 'parachute'], 0],
      [['equipment', 'reel'], 0],
      [['equipment', 'sherry'], 0],
      [['erysipelas', 'sycosis'], 0],
      [['erythromycin', 'aminoglycosides'], 0],
      [['erythromycin', 'carbenicillin'], 0],
      [['erythromycin', 'cephalosporin'], 0],
      [['erythromycin', 'rifampin'], 0],
      [['erythromycin', 'tetracycline'], 0],
      [['erythropoiesis', 'angiogenesis'], 0],
      [['excuse', 'physician'], 0],
      [['exercising', 'stretching'], 1],
      [['expenditure', 'liquidity'], 1],
      [['extension', 'sentence'], 0],
      [['fabric', 'velvet'], 0],
      [['factory', 'goods'], 1],
      [['factory', 'tires'], 1],
      [['falcon', 'Aussie'], 0],
      [['falcon', 'arrogance'], 0],
      [['falcon', 'bird'], 1],
      [['falcon', 'calculation'], 0],
      [['falcon', 'chordate'], 1],
      [['falcon', 'editor'], 0],
      [['falcon', 'eye'], 0],
      [['falcon', 'foot'], 0],
      [['falcon', 'goose'], 0],
      [['falcon', 'immigration'], 0],
      [['falcon', 'operator'], 0],
      [['falcon', 'plumage'], 0],
      [['falcon', 'plume'], 0],
      [['falcon', 'raptor'], 1],
      [['falcon', 'robin'], 0],
      [['falcon', 'sentencing'], 0],
      [['falcon', 'sparrow'], 0],
      [['falcon', 'stab'], 0],
      [['falcon', 'thou'], 0],
      [['falcon', 'underdog'], 0],
      [['falcon', 'vulture'], 0],
      [['falcon', 'worksheet'], 0],
      [['fat', 'thin'], 0],
      [['fatigue', 'anxiety'], 0],
      [['fatigue', 'bleeding'], 0],
      [['fatigue', 'confusion'], 0],
      [['fatigue', 'cramp'], 0],
      [['fatigue', 'depression'], 0],
      [['fatigue', 'irritability'], 0],
      [['fatigue', 'jitteriness'], 0],
      [['fatigue', 'pallor'], 0],
      [['fatigue', 'pancytopenia'], 0],
      [['fatigue', 'pregnancy'], 0],
      [['fatigue', 'tapeworm'], 0],
      [['fatigue', 'vasoconstriction'], 0],
      [['fatigue', 'weakness'], 1],
      [['federation', 'activist'], 0],
      [['federation', 'advisories'], 0],
      [['federation', 'chamber'], 1],
      [['federation', 'confederation'], 1],
      [['federation', 'consortium'], 0],
      [['federation', 'defection'], 0],
      [['federation', 'ministry'], 0],
      [['federation', 'premier'], 1],
      [['federation', 'presidency'], 1],
      [['federation', 'promoter'], 0],
      [['fertilization', 'ovum'], 0],
      [['finance', 'management'], 1],
      [['fish', 'fin'], 1],
      [['fish', 'trout'], 0],
      [['fixed', 'irreparable'], 0],
      [['flashlight', 'battery'], 0],
      [['flashlight', 'bulb'], 1],
      [['foot', 'inch'], 1],
      [['foot', 'toe'], 1],
      [['forgiving', 'vengeful'], 0],
      [['fright', 'emotion'], 1],
      [['frog', 'bandanna'], 0],
      [['frog', 'calendar'], 0],
      [['frog', 'chordate'], 1],
      [['frog', 'dividend'], 0],
      [['frog', 'doyen'], 0],
      [['frog', 'ethnology'], 0],
      [['frog', 'eye'], 0],
      [['frog', 'foot'], 0],
      [['frog', 'headwaters'], 0],
      [['frog', 'pgce'], 0],
      [['frog', 'poison'], 0],
      [['fruit', 'berry'], 0],
      [['fruit', 'diet'], 1],
      [['fruit', 'grape'], 0],
      [['fruit', 'illness'], 0],
      [['fruit', 'lemon'], 0],
      [['fruit', 'vegetable'], 0],
      [['fungi', 'bacillus'], 0],
      [['fungi', 'bacteria'], 0],
      [['fungi', 'disease'], 0],
      [['fungi', 'illness'], 0],
      [['gall', 'disease'], 1],
      [['gallon', 'ounce'], 1],
      [['game', 'bowling'], 0],
      [['game', 'netball'], 0],
      [['garage', 'cars'], 1],
      [['gathering', 'seminar'], 0],
      [['gender', 'costume'], 0],
      [['generator', 'apparatus'], 1],
      [['give', 'receiver'], 1],
      [['glass', 'goods'], 1],
      [['glass', 'meal'], 0],
      [['glass', 'pane'], 1],
      [['glove', 'brainchild'], 0],
      [['glove', 'cap'], 0],
      [['glove', 'cashmere'], 0],
      [['glove', 'cloak'], 0],
      [['glove', 'country'], 0],
      [['glove', 'fabric'], 0],
      [['glove', 'garment'], 1],
      [['glove', 'glass'], 0],
      [['glove', 'goose'], 0],
      [['glove', 'graffito'], 0],
      [['glove', 'hat'], 0],
      [['glove', 'inc'], 0],
      [['glove', 'informer'], 0],
      [['glove', 'inspection'], 0],
      [['glove', 'intellect'], 0],
      [['glove', 'jacket'], 0],
      [['glove', 'material'], 0],
      [['glove', 'openchoice'], 0],
      [['glove', 'pest'], 0],
      [['glove', 'pullover'], 0],
      [['glove', 'pyrolysis'], 0],
      [['glove', 'scarf'], 0],
      [['glove', 'species'], 0],
      [['glove', 'ten'], 0],
      [['glove', 'underpants'], 0],
      [['glove', 'understanding'], 0],
      [['glove', 'vest'], 0],
      [['glove', 'wear'], 1],
      [['gold', 'goods'], 1],
      [['golden', 'gleam'], 0],
      [['goldfish', 'carp'], 0],
      [['goldfish', 'chordate'], 1],
      [['goldfish', 'cod'], 0],
      [['goldfish', 'contraceptive'], 0],
      [['goldfish', 'coven'], 0],
      [['goldfish', 'eye'], 0],
      [['goldfish', 'fin'], 0],
      [['goldfish', 'fish'], 1],
      [['goldfish', 'label'], 0],
      [['goldfish', 'monarchy'], 0],
      [['goldfish', 'pet'], 1],
      [['goldfish', 'salmon'], 0],
      [['goldfish', 'trout'], 0],
      [['goldfish', 'whale'], 0],
      [['goods', 'cashmere'], 0],
      [['goods', 'coal'], 1],
      [['goods', 'crude'], 0],
      [['goods', 'electricity'], 0],
      [['goods', 'equipment'], 0],
      [['goods', 'glass'], 0],
      [['goods', 'gold'], 0],
      [['goods', 'import'], 0],
      [['goods', 'item'], 1],
      [['goods', 'material'], 1],
      [['goods', 'steel'], 0],
      [['goose', 'attitude'], 0],
      [['goose', 'bird'], 1],
      [['goose', 'chordate'], 1],
      [['goose', 'curriculum'], 0],
      [['goose', 'doubter'], 0],
      [['goose', 'dwarve'], 0],
      [['goose', 'eye'], 0],
      [['goose', 'falcon'], 0],
      [['goose', 'foot'], 0],
      [['goose', 'gosling'], 0],
      [['goose', 'indexing'], 0],
      [['goose', 'juxtaposition'], 0],
      [['goose', 'monograph'], 0],
      [['goose', 'panic'], 0],
      [['goose', 'plumage'], 0],
      [['goose', 'plume'], 0],
      [['goose', 'reading'], 0],
      [['goose', 'robin'], 0],
      [['goose', 'signatory'], 0],
      [['goose', 'sparrow'], 0],
      [['goose', 'stud'], 0],
      [['goose', 'vulture'], 0],
      [['government', 'administration'], 1],
      [['government', 'authority'], 1],
      [['government', 'consortium'], 0],
      [['government', 'country'], 0],
      [['government', 'ministry'], 0],
      [['government', 'parliament'], 0],
      [['government', 'partner'], 0],
      [['government', 'politician'], 0],
      [['government', 'premier'], 1],
      [['government', 'presidency'], 0],
      [['grandchild', 'relative'], 1],
      [['grape', 'berry'], 1],
      [['grape', 'currant'], 0],
      [['grape', 'disagreement'], 0],
      [['grape', 'essay'], 0],
      [['grape', 'fruit'], 1],
      [['grape', 'hoax'], 0],
      [['grape', 'lemon'], 0],
      [['grape', 'lineup'], 0],
      [['grape', 'montanes'], 0],
      [['grape', 'pathway'], 0],
      [['graphics', 'stencil'], 1],
      [['grasshopper', 'CR'], 0],
      [['grasshopper', 'bee'], 0],
      [['grasshopper', 'bus'], 0],
      [['grasshopper', 'convenience'], 0],
      [['grasshopper', 'cricket'], 0],
      [['grasshopper', 'crimestoppers'], 0],
      [['grasshopper', 'gold'], 0],
      [['grasshopper', 'invertebrate'], 1],
      [['grasshopper', 'line'], 0],
      [['grasshopper', 'local'], 0],
      [['grasshopper', 'malediction'], 0],
      [['grasshopper', 'touch'], 0],
      [['grenade', 'Kalashnikov'], 0],
      [['grenade', 'bomb'], 0],
      [['grenade', 'bow'], 0],
      [['grenade', 'device'], 1],
      [['grenade', 'front-end'], 0],
      [['grenade', 'inscription'], 0],
      [['grenade', 'kalashnikov'], 0],
      [['grenade', 'malediction'], 0],
      [['grenade', 'mucosa'], 0],
      [['grenade', 'petrol'], 0],
      [['grenade', 'pike'], 0],
      [['grenade', 'prejudice'], 0],
      [['grenade', 'recruitment'], 0],
      [['grenade', 'revolver'], 0],
      [['grenade', 'sentencing'], 0],
      [['grenade', 'steel'], 0],
      [['grenade', 'theconurbation'], 0],
      [['gum', 'weakness'], 0],
      [['haematemesis', 'anemia'], 0],
      [['haematemesis', 'bleeding'], 0],
      [['haematemesis', 'bronchospasm'], 0],
      [['haematemesis', 'nausea'], 0],
      [['handgun', 'instrument'], 1],
      [['handgun', 'worker'], 0],
      [['handset', 'equipment'], 1],
      [['hare', 'mammal'], 1],
      [['harvest', 'reaping'], 0],
      [['hat', 'alnguages'], 0],
      [['hat', 'ammunition'], 0],
      [['hat', 'cap'], 0],
      [['hat', 'cloak'], 0],
      [['hat', 'comparison'], 0],
      [['hat', 'fair'], 0],
      [['hat', 'fascist'], 0],
      [['hat', 'felt'], 0],
      [['hat', 'follow-up'], 0],
      [['hat', 'garment'], 1],
      [['hat', 'glove'], 0],
      [['hat', 'guild'], 0],
      [['hat', 'impunity'], 0],
      [['hat', 'ingrate'], 0],
      [['hat', 'instrumentation'], 0],
      [['hat', 'jacket'], 0],
      [['hat', 'jury'], 0],
      [['hat', 'meal'], 0],
      [['hat', 'olisten'], 0],
      [['hat', 'photographer'], 0],
      [['hat', 'pullover'], 0],
      [['hat', 'scarf'], 0],
      [['hat', 'sultan'], 0],
      [['hat', 'summit'], 0],
      [['hat', 'sushi'], 0],
      [['hat', 'trip'], 0],
      [['hat', 'underpants'], 0],
      [['hat', 'vest'], 0],
      [['hat', 'wear'], 1],
      [['heal', 'injure'], 0],
      [['heart', 'cns'], 0],
      [['heart', 'cyclase'], 0],
      [['heart', 'vasoconstriction'], 0],
      [['hedge', 'fence'], 0],
      [['hen', 'bird'], 1],
      [['herpes', 'disease'], 1],
      [['highway', 'road'], 1],
      [['honest', 'liar'], 0],
      [['hop', 'rabbit'], 0],
      [['horse', 'benediction'], 0],
      [['horse', 'chordate'], 1],
      [['horse', 'circle'], 0],
      [['horse', 'dice'], 0],
      [['horse', 'eye'], 0],
      [['horse', 'foot'], 0],
      [['horse', 'gathering'], 0],
      [['horse', 'hoof'], 0],
      [['horse', 'horseback'], 0],
      [['horse', 'mammal'], 1],
      [['horse', 'mule'], 0],
      [['horse', 'muzzle'], 0],
      [['horse', 'nose'], 0],
      [['horse', 'outfit'], 0],
      [['horse', 'pike'], 0],
      [['horse', 'rabbit'], 0],
      [['horse', 'seaplane'], 0],
      [['horse', 'sheep'], 0],
      [['horse', 'star'], 0],
      [['horse', 'tiger'], 0],
      [['horse', 'wanderer'], 0],
      [['horse', 'whale'], 0],
      [['host', 'hostess'], 0],
      [['hostess', 'host'], 1],
      [['humanity', 'sentence'], 0],
      [['hunger', 'arteritis'], 0],
      [['hunger', 'dizziness'], 0],
      [['hunger', 'hypoglycemia'], 0],
      [['hunger', 'irritability'], 0],
      [['hunger', 'meningitis'], 0],
      [['hunger', 'nausea'], 0],
      [['hunger', 'starving'], 0],
      [['hunger', 'stress'], 0],
      [['hunger', 'syphilis'], 0],
      [['hunger', 'tumour'], 0],
      [['hurting', 'comfort'], 0],
      [['hyperthyroidism', 'anxiety'], 0],
      [['hyperthyroidism', 'depression'], 0],
      [['hypnotic', 'trazodone'], 0],
      [['hypoglycemia', 'arteritis'], 0],
      [['hypoglycemia', 'hunger'], 0],
      [['hypoglycemia', 'meningitis'], 0],
      [['hypoglycemia', 'stress'], 0],
      [['hypoglycemia', 'syphilis'], 0],
      [['hypoglycemia', 'tumour'], 0],
      [['illness', 'asylum'], 0],
      [['illness', 'bacteria'], 0],
      [['illness', 'cellulitis'], 0],
      [['illness', 'digit'], 0],
      [['illness', 'disease'], 1],
      [['illness', 'fungi'], 0],
      [['illness', 'meningitis'], 0],
      [['illness', 'peritonitis'], 0],
      [['illness', 'rubella'], 0],
      [['illness', 'syphilis'], 0],
      [['illness', 'tumour'], 0],
      [['import', 'goods'], 0],
      [['information', 'corporation'], 0],
      [['information', 'disease'], 0],
      [['information', 'documentation'], 0],
      [['information', 'surgeon'], 0],
      [['infrastructure', 'management'], 0],
      [['injure', 'heal'], 0],
      [['insanity', 'atrophy'], 0],
      [['insanity', 'chorioretinitis'], 0],
      [['insanity', 'neuritis'], 1],
      [['insanity', 'papillitis'], 0],
      [['insanity', 'paresis'], 0],
      [['insist', 'assert'], 1],
      [['instrument', 'violin'], 0],
      [['internment', 'captivity'], 1],
      [['intranet', 'system'], 1],
      [['investment', 'transaction'], 1],
      [['irreparable', 'fixed'], 0],
      [['irritability', 'amphetamine'], 0],
      [['irritability', 'anxiety'], 1],
      [['irritability', 'depression'], 0],
      [['irritability', 'dizziness'], 0],
      [['irritability', 'fatigue'], 0],
      [['irritability', 'hunger'], 0],
      [['irritability', 'jitteriness'], 1],
      [['irritability', 'meningitis'], 0],
      [['irritability', 'nausea'], 0],
      [['irritability', 'stress'], 1],
      [['irritability', 'vasoconstriction'], 0],
      [['itching', 'anxiety'], 0],
      [['itching', 'nausea'], 0],
      [['itching', 'rash'], 0],
      [['itching', 'rhinorrhea'], 0],
      [['item', 'goods'], 0],
      [['iv', 'digit'], 1],
      [['ix', 'digit'], 1],
      [['jacket', 'Anti-Terrorism'], 0],
      [['jacket', 'button'], 0],
      [['jacket', 'cloak'], 0],
      ...],
     'macro-F1': 0.5571254984234767,
     'vector_func': <function __main__.glove_vec(w)>,
     'vector_combo_func': <function __main__.vec_diff(u, v)>}

### Your original system [3 points]

This is a simple dataset, but its "word-disjoint" nature ensures that it's a challenging one, and there are lots of modeling strategies one might adopt.

You are free to do whatever you like. We require only that your system differ in some way from those defined in the preceding questions. They don't have to be completely different, though. For example, you might want to stick with the model but represent examples differently, or the reverse.

You are free to use different pretrained word vectors and the like.

Please embed your code in this notebook so that we can rerun it.

In the cell below, please provide a brief technical description of your original system, so that the teaching team can gain an understanding of what it does. This will help us to understand your code and analyze all the submissions to identify patterns and strategies.  We also ask that you report the best score your system got during development, just to help us understand how systems performed overall.

```python
# PLEASE MAKE SURE TO INCLUDE THE FOLLOWING BETWEEN THE START AND STOP COMMENTS:
#   1) Textual description of your system.
#   2) The code for your original system.
#   3) The score achieved by your system in place of MY_NUMBER.
#        With no other changes to that line.
#        You should report your score as a decimal value <=1.0
# PLEASE MAKE SURE NOT TO DELETE OR EDIT THE START AND STOP COMMENTS

# IMPORT ANY MODULES BELOW THE 'IS_GRADESCOPE_ENV' CHECK CONDITION. DOING
# SO ABOVE THE CHECK MAY CAUSE THE AUTOGRADER TO FAIL.

# START COMMENT: Enter your system description in this cell.
# My peak score was: MY_NUMBER
if 'IS_GRADESCOPE_ENV' not in os.environ:
    pass

# STOP COMMENT: Please do not remove this comment.
```

## Bake-off [1 point]

The goal of the bake-off is to achieve the highest __macro-average F1__ score on a test set that we will make available at the start of the bake-off. The announcement will go out on the discussion forum. To enter, you'll be asked to run `nli.bake_off_evaluation` on the output of your chosen `nli.wordentail_experiment` run.

The cells below this one constitute your bake-off entry.

The rules described in the [Your original system](#Your-original-system-[3-points]) homework question are also in effect for the bake-off.

Systems that enter will receive the additional homework point, and systems that achieve the top score will receive an additional 0.5 points. We will test the top-performing systems ourselves, and only systems for which we can reproduce the reported results will win the extra 0.5 points.

Late entries will be accepted, but they cannot earn the extra 0.5 points. Similarly, you cannot win the bake-off unless your homework is submitted on time.

The announcement will include the details on where to submit your entry.

```python
# Enter your bake-off assessment code into this cell.
# Please do not remove this comment.
if 'IS_GRADESCOPE_ENV' not in os.environ:
    pass
    # Please enter your code in the scope of the above conditional.
    ##### YOUR CODE HERE

```

```python
# On an otherwise blank line in this cell, please enter
# your macro-avg f1 value as reported by the code above.
# Please enter only a number between 0 and 1 inclusive.
# Please do not remove this comment.
if 'IS_GRADESCOPE_ENV' not in os.environ:
    pass
    # Please enter your score in the scope of the above conditional.
    ##### YOUR CODE HERE

```