Abstract
In this paper we propose a system for re-ranking 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.
Cite
CITATION STYLE
Deriu, J., & Cieliebak, M. (2017). SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 334–338). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s17-2054
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