Matching Questions and Answers in Dialogues from Online Forums

• URL: http://arxiv.org/abs/2005.09276v2
• Date: Mon, 3 Aug 2020 02:44:07 GMT
• Title: Matching Questions and Answers in Dialogues from Online Forums
• Authors: Qi Jia, Mengxue Zhang, Shengyao Zhang, Kenny Q. Zhu
• Abstract summary: Matching question-answer relations between two turns in conversations is not only the first step in analyzing dialogue structures, but also valuable for training dialogue systems. This paper presents a QA matching model considering both distance information and dialogue history by two simultaneous attention mechanisms called mutual attention.
• Score: 12.64602629459043
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Matching question-answer relations between two turns in conversations is not only the first step in analyzing dialogue structures, but also valuable for training dialogue systems. This paper presents a QA matching model considering both distance information and dialogue history by two simultaneous attention mechanisms called mutual attention. Given scores computed by the trained model between each non-question turn with its candidate questions, a greedy matching strategy is used for final predictions. Because existing dialogue datasets such as the Ubuntu dataset are not suitable for the QA matching task, we further create a dataset with 1,000 labeled dialogues and demonstrate that our proposed model outperforms the state-of-the-art and other strong baselines, particularly for matching long-distance QA pairs.

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