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
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
334–338
Language:
URL:
https://www.aclweb.org/anthology/S17-2054
DOI:
10.18653/v1/S17-2054
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2054.pdf