Code and dataset for the EMNLP 2021 Finding paper "Can NLI Models Verify QA Systems’ Predictions?"

Related tags

Text Data & NLP QA-Verification-Via-NLI
Overview

Can NLI Models Verify QA Systems' Predictions?

This repository contains the data and code for the following paper:

**Can NLI Models Verify QA Systems' Predictions? **
Jifan Chen, Eunsol Choi, Greg Durrett
EMNLP 2021 Findings

@article{chen2021can,
  title={Can NLI Models Verify QA Systems' Predictions?},
  author={Chen, Jifan and Choi, Eunsol and Durrett, Greg},
  journal={EMNLP Findings},
  year={2021}
}

Datasets

The NLI data converted from QA datasets through our pipeline described in the paper can be found here

Data Format

The data files are formatted as jsonlines; each example is described as the following:

Field Description
example_id Example ID
title_text Title of the Wikipedia page of the example, could be NONE
paragraph_text Paragraph containing the answer
question_text Question
answer_text Answer of the question
answer_sent_text Sentence containing the answer
decontext_answer_sent_text Decontextualized sentence containing the answer
question_statement_text Declarative version of the question by combining the answer
answer_scores Top 5 Answer score computed by the QA(BERT-joint) model
is_correct Whether the answer is correct
answer_sent_text Sentence containing the answer

Models

Getting started

git clone https://github.com/jifan-chen/QA-Verification-Via-NLI.git

Install the dependencies by running pip install -r requirements.txt

Question Converter & Decontextualizer

See README in seq2seq_converter.

NQ-NLI

coming soon

Contact

Please contact at [email protected] if you have any questions.

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Comments
  • ModuleNotFoundError

    ModuleNotFoundError

    Hello,

    I am running your code as it is on a WSL Ubuntu.

    I am getting this error ModuleNotFoundError: No module named 'seq2seq_converter.utils'; 'seq2seq_converter' is not a package

    You should move the *.sh files outside of the seq2seq_converter folder.

    opened by ChadiHelwe 0
Owner
Jifan Chen
Stay young, stay simple
Jifan Chen
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