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Finding Generalizable Evidence by Learning to Convince Q&A Models
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Finding Generalizable Evidence by Learning to Convince Q&A Models

Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, Kyunghyun Cho

This repo contains code for training agents to find evidence in a passage for various answers to a question (described in our EMNLP paper).

  • convince/allennlp/: Code and instructions for training our models/agents.
  • convince/ParlAI/: Code and instructions for running human evaluation on agent-selected evidence.


If you find our code or paper useful, consider citing us:

    title = "Finding Generalizable Evidence by Learning to Convince Q\&A Models",
    author = "Perez, Ethan and Karamcheti, Siddharth and Fergus, Rob and Weston, Jason and Kiela, Douwe and Cho, Kyunghyun",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = ""
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