Presentation information

Poster presentation

General Session » Interactive

[3Pin1] インタラクティブ(1)

Thu. Jun 7, 2018 9:00 AM - 10:40 AM Room P (4F Emerald Lobby)

9:00 AM - 10:40 AM

[3Pin1-19] Acquiring Utterance Candidates for Chat-oriented Dialogue Systems from Wikipedia Based on a State Space Model

〇Tomoki Matsumoto1, Masato Sakai1, Mikio Nakano2 (1. Nextremer Co., Ltd., 2. Honda Research Institute Japan Co., Ltd.)

Keywords: chat-oriented dialogue systems, natural language processing, state space model

This paper presents a method for acquiring utterance candidates for chat-oriented dialogue systems in specific domains from Wikipedia articles. A previously proposed method extracts sentences from Wikipedia articles related to the domain, converts them to utterances suitable for chat, and excludes sentences inappropriate as system utterances using a classifier. The classifier uses position information of the sentence in the article, but it is based on a simple logistic regression. On the contrary, our proposed method uses a state space model in a Bayesian approach. Experimental results show the proposed method outperforms the previous method.