bunji at SemEval-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility Features
Yuta Koreeda, Takuya Hashito, Yoshiki Niwa, Misa Sato, Toshihiko Yanase, Kenzo Kurotsuchi, Kohsuke Yanai
Abstract
This paper describes a text-ranking system developed by bunji team in SemEval-2017 Task 3: Community Question Answering, Subtask A and C. The goal of the task is to re-rank the comments in a question-and-answer forum such that useful comments for answering the question are ranked high. We proposed a method that combines neural similarity features and hand-crafted comment plausibility features, and we modeled inter-comments relationship using conditional random field. Our approach obtained the fifth place in the Subtask A and the second place in the Subtask C.- Anthology ID:
- S17-2058
- Volume:
- Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
- Month:
- August
- Year:
- 2017
- Address:
- Vancouver, Canada
- Editors:
- Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel Cer, David Jurgens
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 353–359
- Language:
- URL:
- https://aclanthology.org/S17-2058
- DOI:
- 10.18653/v1/S17-2058
- Cite (ACL):
- Yuta Koreeda, Takuya Hashito, Yoshiki Niwa, Misa Sato, Toshihiko Yanase, Kenzo Kurotsuchi, and Kohsuke Yanai. 2017. bunji at SemEval-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility Features. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 353–359, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- bunji at SemEval-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility Features (Koreeda et al., SemEval 2017)
- PDF:
- https://preview.aclanthology.org/naacl24-info/S17-2058.pdf