Densely Interactive Inference Network (DIIN)

This is the code to reproduce the model in Natural Language Inference over Interaction Space.

Environment

python 3.6
tensorflow = 1.3

Setup

$ git clone https://github.com/YichenGong/Densely-Interactive-Inference-Network.git
$ cd Densely-Interactive-Inference-Network
$ pip install -r requirements.txt

Download Data

First, run download.py for the datasets and the preprocessed file:

$ cd data
$ python download.py

Then, manually download download MultiNLI 0.9 matched and mismatched test set under data/multinli_0.9 folder

If any of the auto download fails, you can manually download them from:

When you finish downloading, your data folder should look like this:

    $ tree data
    data
    ├── download.py
    ├── glove.840B.300d.txt
    ├── multinli_0.9
    │   ├── Icon\015
    │   ├── multinli_0.9_dev_matched.jsonl
    │   ├── multinli_0.9_dev_matched.txt
    │   ├── multinli_0.9_dev_mismatched.jsonl
    │   ├── multinli_0.9_dev_mismatched.txt
    │   ├── multinli_0.9_test_matched_sample_submission.csv
    │   ├── multinli_0.9_test_mismatched_sample_submission.csv
    │   ├── multinli_0.9_train.jsonl
    │   ├── multinli_0.9_train.txt
    │   └── paper.pdf
    ├── shared.jsonl
    └── snli_1.0
        ├── Icon\015
        ├── README.txt
        ├── snli_1.0_dev.jsonl
        ├── snli_1.0_dev.txt
        ├── snli_1.0_test.jsonl
        ├── snli_1.0_test.txt
        ├── snli_1.0_train.jsonl
        └── snli_1.0_train.txt

I don't recommend you to use multinli_1.0 here because the id doesn't match the id in preprocessed sample id.

To run the code

$ cd python 
# on MultiNLI
$ PYTHONHASHSEED=0 python train_mnli.py DIIN demo_testing 
# on SNLI
$ PYTHONHASHSEED=0 python train_mnli.py DIIN demo_testing_SNLI --training_completely_on_snli

License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use these files except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0