SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering

Jan Milan Deriu, Mark Cieliebak


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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/S17-2054.pdf
Code
 jderiu/community_qa