Unknown Place Name Detection base on YamCha for Japanese Guidance QA system

摘要：

We perform a research about Japanese sightseeing guidance question answering (QA) system. In this domain web information retrieval approach is always being used. However for the web information retrieval, Japanese unknown place word detection needs to be considered. Some famous places are known very well, such as Kinkaku-ji, it can be recognized by morphological analysis. However, the recognition rate of Japanese complex place is so poor. Therefore, we proposed an approach of the Japanese unknown place word detection. We use YamCha, a tool based on Support Vector Machines (SVMs). The goal is that we want to recognize the unknown sightseeing spots word from users question. In the experiment of Japanese place word detection we have got excellent precision and recalling rates.

关键词： Japanese sightseeing place word detection Support Vector Machine YamCha

作者: Ye Liu Fuji Ren

作者单位: Graduate School of Advanced Technology and Science, The University of Tokushima Tokushima, Japan Institute of Technology and Science, The University of Tokushima Tokushima, Japan School of Informat

会议类型: 国际会议

会议名称: 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)

会议地点: 大连

会议语种:英文

页码: 1-5

在线出版日期: 2009-09-24（万方平台首次上网日期，不代表论文的发表时间）