Rationale-alignment

Pytorch Library for ACL 2020 paper: Rationalizing Text Matching:Learning Sparse Alignments via Optimal Transport

Usage

Data: please down load data and unzip to data folder

Embedding: we use fasttext embedding cc.en.300.bin, please download and specify the embedding_path in utils/parsing.py

Replicate results from the paper

Example usage

Cite

@inproceedings{swanson-etal-2020-rationalizing,
    title = "Rationalizing Text Matching: {L}earning Sparse Alignments via Optimal Transport",
    author = "Swanson, Kyle  and Yu, Lili  and Lei, Tao",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    year = "2020",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.acl-main.496",
}