Team GPLSI. Approach for automated fact checking

Aimée Alonso-Reina, Robiert Sepúlveda-Torres, Estela Saquete, Manuel Palomar


Abstract
Fever Shared 2.0 Task is a challenge meant for developing automated fact checking systems. Our approach for the Fever 2.0 is based on a previous proposal developed by Team Athene UKP TU Darmstadt. Our proposal modifies the sentence retrieval phase, using statement extraction and representation in the form of triplets (subject, object, action). Triplets are extracted from the claim and compare to triplets extracted from Wikipedia articles using semantic similarity. Our results are satisfactory but there is room for improvement.
Anthology ID:
D19-6617
Volume:
Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)
Month:
November
Year:
2019
Address:
Hong Kong, China
Venue:
WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
110–114
Language:
URL:
https://aclanthology.org/D19-6617
DOI:
10.18653/v1/D19-6617
Bibkey:
Cite (ACL):
Aimée Alonso-Reina, Robiert Sepúlveda-Torres, Estela Saquete, and Manuel Palomar. 2019. Team GPLSI. Approach for automated fact checking. In Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER), pages 110–114, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
Team GPLSI. Approach for automated fact checking (Alonso-Reina et al., 2019)
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PDF:
https://aclanthology.org/D19-6617.pdf