Matching Questions and Answers in Dialogues from Online Forums [article]

Qi Jia, Mengxue Zhang, Shengyao Zhang, Kenny Q. Zhu
2020 arXiv   pre-print
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
more » ... tions. 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.
arXiv:2005.09276v2 fatcat:ircgottdpbdlhgbsjsunc35njm