This repository contains the FEVER annotation platform code (annotation UI) and the baselines described in the NAACL 2018 paper as part of the Fact Extraction and VERification Shared Task. More information is available on our website.
To set up the packages, run:
python3 setup.py install- (optional) Creating the candidate sentences from the Wikipedia dump
- Running the annotation interface
If you use this work, please cite the following:
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal (2018). FEVER: a Large-scale Dataset for Fact Extraction and VERification. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
@inproceedings{Thorne18Fever,
author = {Thorne, James and Vlachos, Andreas and Christodoulopoulos, Christos and Mittal, Arpit},
title = {{FEVER}: a Large-scale Dataset for Fact Extraction and VERification},
booktitle = {NAACL-HLT},
year = {2018}
}
This library is licensed under the Apache 2.0 License.