SocratiQ

This is the official data repository for the paper "Socratic Question Generation: A Novel Dataset, Models, and Evaluation" that will be published in EACL 2023.

Resources

• MTurk Annotated data
• SoQG data
• SoQG train script
• SoQG generate script

Amazon MTurk Setup

• Qualification test doc
• Question Selection study doc
• Question Quality study doc

Quick Demo

https://nlp-platform.online/socratic_qg/

Citation

The bibtex from https://aclanthology.org/2023.eacl-main.12/

@inproceedings{ang-etal-2023-socratic,
    title = "Socratic Question Generation: A Novel Dataset, Models, and Evaluation",
    author = "Ang, Beng Heng  and
      Gollapalli, Sujatha Das  and
      Ng, See-Kiong",
    editor = "Vlachos, Andreas  and
      Augenstein, Isabelle",
    booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics",
    month = may,
    year = "2023",
    address = "Dubrovnik, Croatia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.eacl-main.12",
    doi = "10.18653/v1/2023.eacl-main.12",
    pages = "147--165",}