Journal of Natural Language Processing
Online ISSN : 2185-8314
Print ISSN : 1340-7619
ISSN-L : 1340-7619
Knowledge Extraction for a Question Answer System Using Emails Posted to a Mailing List
YASUHIKO WATANABEKAZUYA YOKOMIZORYO NISHIMURAYOSHIHIRO OKADA
Author information
JOURNAL FREE ACCESS

2005 Volume 12 Issue 6 Pages 25-44

Details
Abstract
The most serious difficulty in developing a QA system is knowledge.In this paper, we first discuss three problems of developing a knowledge base by which a QA system answers how type questions.Then, we propose a method of developing a knowledge base by using mails posted to a mailing list.Next, we describe a QA system which can answer how type questions based on the knowledge base.Our system finds question mails which are similar to user's question and shows the answers to the user. The similarity between user's question and a question mail is calculated by matching of user's question and a significant sentence in the question mail.Finally, we show that mails posted to a mailing list can be used as a knowledge base by which a QA system answers how type questions.
Content from these authors
© The Association for Natural Language Processing
Previous article Next article
feedback
Top