Uncertain natural language inference

Related tags

Deep Learning unli
Overview

Uncertain Natural Language Inference

This repository hosts the code for the following paper:

  • Tongfei Chen*, Zhengping Jiang*, Adam Poliak, Keisuke Sakaguchi, Benjamin Van Durme (2020): Uncertain natural language inference. In Proceedings of ACL.

Prerequisites

  • Python >= 3.6

Running

This repository uses Ducttape to manage intermediate results of the experiment pipeline.

To run a portion of the pipeline, first clone this repository to your location, then in unli.tape, modify package unli .path variable to where your location of this repository is.

Then use the following command:

  ducttape unli.tape -p <TASK>

where <TASK> is any of the following:

Task Description
Data Prepares SNLI and u-SNLI datasets (automatically downloads data)
HypOnly Generates datasets for hypothesis-only baselines
Regression Trains the regression model under various conditions

One can easily execute different tasks by modifying the plans in the tape files.

Citation

Please cite this paper and package as

@inproceedings{UNLI-ACL20,
    author = {Tongfei Chen and Zhengping Jiang and Adam Poliak and Keisuke Sakaguchi and Benjamin {Van Durme}},
    title = {Uncertain natural language inference},
    booktitle = {Proceedings of ACL},
    year = {2020}
}
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Comments
  • adding html templates

    adding html templates

    copa_dyn.html --- a dynamic templates supporting flexible item number per hit. unli_static.html --- static template with 5 items per hit.

    template title changed to Uncertain Natural Language Inference

    opened by zipJiang 3
Owner
Tongfei Chen
(Natural | Programming) language processor
Tongfei Chen
GitHub http://nlp.jhu.edu/unli
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