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ranking_clarification_questions's Introduction

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.

存储库信息 此存储库包含以下论文的数据和代码: 学会提出好问题:使用完美信息的神经期望值对澄清问题进行排名 Sudha Rao ([email protected]) 和 Hal Daumé III ([email protected]) 2018 年计算语言学协会论文集 (ACL 2018) 下载数据

  1. askubuntu.com
  2. unix.stackexchange.com
  3. superuser.com 根据上述数据运行模型 要在上述三个站点的组合上运行模型,请查看 ranking_clarification_questions/src/models/README 为其他站点生成数据 要为 stackexchange 的不同站点生成澄清问题,请查看 ranking_clarification_questions/src/data_generation/README 重新训练 stackexchange 词嵌入 要在较新版本的 stackexchange 数据转储上重新训练单词嵌入,请查看 ranking_clarification_questions/src/embedding_generation/README 联系方式 如果您有任何问题或任何反馈,请联系 Sudha Rao ([email protected])。

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