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
- Editors:
- James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/D19-6617.pdf