Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task

Dominik Stammbach, Guenter Neumann


Abstract
This paper contains our system description for the second Fact Extraction and VERification (FEVER) challenge. We propose a two-staged sentence selection strategy to account for examples in the dataset where evidence is not only conditioned on the claim, but also on previously retrieved evidence. We use a publicly available document retrieval module and have fine-tuned BERT checkpoints for sentence se- lection and as the entailment classifier. We report a FEVER score of 68.46% on the blind testset.
Anthology ID:
D19-6616
Volume:
Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)
Month:
November
Year:
2019
Address:
Hong Kong, China
Venues:
EMNLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
105–109
Language:
URL:
https://www.aclweb.org/anthology/D19-6616
DOI:
10.18653/v1/D19-6616
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PDF:
http://aclanthology.lst.uni-saarland.de/D19-6616.pdf