Voltron: A Hybrid System For Answer Validation Based On Lexical And Distance Features

Ivan Zamanov, Marina Kraeva, Nelly Hateva, Ivana Yovcheva, Ivelina Nikolova, Galia Angelova


Anthology ID:
S15-2043
Volume:
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
Month:
June
Year:
2015
Address:
Denver, Colorado
Editors:
Preslav Nakov, Torsten Zesch, Daniel Cer, David Jurgens
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
242–246
Language:
URL:
https://aclanthology.org/S15-2043
DOI:
10.18653/v1/S15-2043
Bibkey:
Cite (ACL):
Ivan Zamanov, Marina Kraeva, Nelly Hateva, Ivana Yovcheva, Ivelina Nikolova, and Galia Angelova. 2015. Voltron: A Hybrid System For Answer Validation Based On Lexical And Distance Features. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 242–246, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):
Voltron: A Hybrid System For Answer Validation Based On Lexical And Distance Features (Zamanov et al., SemEval 2015)
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PDF:
https://aclanthology.org/S15-2043.pdf