会议专题

Topic Control in A Free Conversation System

Conversation systems can be divided into two types. Task-oriented ones and non-task-oriented ones. Most recent researches on the latter one have focused on how to make the user continue the conversation without getting bored or tired. Some studies propose several ways to enrich the expressive forms of words or sentences. Others make efforts on topic association. Both solutions try to preserve the conversation interesting so that the user would like to continue talking with the computer. In this paper, we talk about the significance of providing topics, and give an approach to provide and control topics for a free conversation system. Specifically, the system extracts topics from the Web according to the user’s interest automatically, and keeps the conversation going on by providing the fabricated topics to the user. Also the system constantly detects the timing when the user might have lost interests in the current topic, and then changes the topic to another one obtained from a topic website. Experiments and questionnaires show that our method works well.

non-task-oriented conversation system topic control user interest vector

Xin Song Kazuki Maeda Hiroyuki Kunimasa Hiroyuki Toyota Dongli Han

Department of Computer Science and System Analysis College of Humanities and Sciences Nihon University Sakurajyosui 3-25-40, Setagaya-ku, Tokyo, Japan

国际会议

International Conference on Natural Language Processing and Knowledge Engineering(IEEE自然语言处理与知识工程国际会议 IEEE NLP-KE 2009)

大连

英文

1-6

2009-09-24(万方平台首次上网日期,不代表论文的发表时间)