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  • Language
    Python
  • Created over 6 years ago
  • Updated over 5 years ago

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Repository Details

Code and Data for the paper: "Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information"

Repository information

This repository contains data and code for the paper below:

Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information
Sudha Rao ([email protected]) and Hal Daumé III ([email protected])
Proceedings of The 2018 Association of Computational Lingusitics (ACL 2018)

Downloading data

The above dataset contains clarification questions for these three sites of stackexchange:

  1. askubuntu.com
  2. unix.stackexchange.com
  3. superuser.com

Running model on data above

To run models on a combination of the three sites above, check ranking_clarification_questions/src/models/README

Generating data for other sites

To generate clarification questions for a different site of stackexchange, check ranking_clarification_questions/src/data_generation/README

Retrain stackexchange word embeddings

To retrain word embeddings on a newer version of stackexchange datadump, check ranking_clarification_questions/src/embedding_generation/README

Contact information

Please contact Sudha Rao ([email protected]) if you have any questions or any feedback.