Logical Inference for Counting on Semi-structured Tables

Overview

Usage

Environment

• Linux (WSL; Ubuntu 20.04)
• Python 3.7 (venv)

Preparation

pip install -r requirements.txt
pip install depccg==1.1.0
python -m spacy download en_core_web_sm

Because depccg_en download does not work (confirmed in May 2022), you may have to download from the direct link for the depccg_en model and locate the proper directory.

Experiment 1 (General)

python experiments/general_exp.py

Experiment 2 (Running Time)

./experiments/time_exp.sh

Citation

If you use either our dataset or our work, or both in any published research, please cite the following:

• Tomoya Kurosawa and Hitomi Yanaka. 2022. Logical Inference for Counting on Semi-structured Tables In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 84–96, Dublin, Ireland. Association for Computational Linguistics.

@inproceedings{kurosawa-yanaka-2022-logical,
    title = "Logical Inference for Counting on Semi-structured Tables",
    author = "Kurosawa, Tomoya  and
      Yanaka, Hitomi",
    booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.acl-srw.8",
    pages = "84--96"
}

Our dataset comes from InfoTabS (Gupta et al., 2020).

Contact

For questions and usage issues, please contact kurosawa-tomoya@is.s.u-tokyo.ac.jp .

License

CC BY-SA 4.0