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    <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.</abstract>
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%0 Conference Proceedings
%T SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering
%A Deriu, Jan Milan
%A Cieliebak, Mark
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F deriu-cieliebak-2017-swissalps
%X 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.
%R 10.18653/v1/S17-2054
%U https://aclanthology.org/S17-2054
%U https://doi.org/10.18653/v1/S17-2054
%P 334-338

Markdown (Informal)

[SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering](https://aclanthology.org/S17-2054) (Deriu & Cieliebak, SemEval 2017)

• SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering (Deriu & Cieliebak, SemEval 2017)

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.