KazutoshiShinoda / VQAG

The official codes and data of our ACL-IJCNLP 2021 SRW paper: "Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation"

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VQAG

This repository contains official codes and data of the paper:

Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa. 2021. Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, pages 197-214, Online. Association for Computational Linguistics. [paper] [arXiv] [slides]

@inproceedings{shinoda-etal-2021-improving,
    title = "Improving the Robustness of {QA} Models to Challenge Sets with Variational Question-Answer Pair Generation",
    author = "Shinoda, Kazutoshi  and
      Sugawara, Saku  and
      Aizawa, Akiko",
    booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.acl-srw.21",
    doi = "10.18653/v1/2021.acl-srw.21",
    pages = "197--214",
}

Data

Our synthetic datasets are available in the data/ directory.

Code

Coming soon.

About

The official codes and data of our ACL-IJCNLP 2021 SRW paper: "Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation"

License:MIT License