Event Extraction by Answering (Almost) Natural Questions

Question answering for event extraction (trigger detection and argument extraction with various questioning strategies).

Paper link

If you use my code, please cite:

@article{du2020eeqa,
  title={Event Extraction by Answering (Almost) Natural Questions},
  author={Du, Xinya and Cardie, Claire},
  journal={arXiv preprint arXiv:2004.13625},
  year={2020}
}

Feel free to ask questions: xdu [at] cs [dot] cornell [dot] edu. http://www.cs.cornell.edu/~xdu/

Preprocessing (for ACE data)

Read ./proc/README.md for details

Requirement

See requirements.txt

Code

Train and eval models

• Trigger Detection

  QA based model ([CLS] verb [SEP] input sentence [SEP]): bash ./code/script_trigger_qa.sh

• Argument Extraction

  • With dynamic threshold: bash ./code/script_args_qa_thresh.sh

  • Without dynamic threshold: bash ./code/script_args_qa.sh

  • Get results on unseen arguments (Train on a set excluding unseen arguments and test on those): bash ./code/script_args_qa_unseen.sh

Question Templates

Template 1 (Role Name)

Template 2 (Role + Type): ./question_templates/arg_queries.csv

Template 3 (Annotation Guideline): ./question_templates/description_queries.csv

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Unseen args for analysis, see unseen_args and all_args