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
- 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)
- PDF:
- https://preview.aclanthology.org/ml4al-ingestion/S15-2043.pdf