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        <title>Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task</title>
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        <namePart type="given">Dominik</namePart>
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            <title>Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)</title>
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            <namePart type="given">James</namePart>
            <namePart type="family">Thorne</namePart>
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            <namePart type="given">Andreas</namePart>
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        <name type="personal">
            <namePart type="given">Oana</namePart>
            <namePart type="family">Cocarascu</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task
%A Stammbach, Dominik
%A Neumann, Guenter
%Y Thorne, James
%Y Vlachos, Andreas
%Y Cocarascu, Oana
%Y Christodoulopoulos, Christos
%Y Mittal, Arpit
%S Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F stammbach-neumann-2019-team
%X 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.
%R 10.18653/v1/D19-6616
%U https://aclanthology.org/D19-6616
%U https://doi.org/10.18653/v1/D19-6616
%P 105-109

Markdown (Informal)

[Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task](https://aclanthology.org/D19-6616) (Stammbach & Neumann, 2019)

• Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task (Stammbach & Neumann, 2019)

ACL

• Dominik Stammbach and Guenter Neumann. 2019. Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task. In Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER), pages 105–109, Hong Kong, China. Association for Computational Linguistics.