Abstract
In this paper we propose a system for reranking answers for a given question. Our method builds on a siamese CNN architecture which is extended by two attention mechanisms. The approach was evaluated on the datasets of the SemEval-2017 competition for Community Question Answering (cQA), where it achieved 7th place obtaining a MAP score of 86:24 points on the Question-Comment Similarity subtask.- Anthology ID:
- S17-2054
- 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:
- 334–338
- Language:
- URL:
- https://aclanthology.org/S17-2054
- DOI:
- 10.18653/v1/S17-2054
- Cite (ACL):
- Jan Milan Deriu and Mark Cieliebak. 2017. SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 334–338, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering (Deriu & Cieliebak, SemEval 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/S17-2054.pdf
- Code
- jderiu/community_qa