Confirmed knowledge acquisition using mails posted to a mailing list

Authors:
Yasuhiko Watanabe;Ryo Nishimura;Yoshihiro Okada
Affiliations:
Ryukoku University, Shiga, Japan;Ryukoku University, Shiga, Japan;Ryukoku University, Shiga, Japan
Venue:
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Year:
2005

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Abstract

In this paper, we first discuss a problem of developing a knowledge base by using natural language documents: wrong information in natural language documents. It is almost inevitable that natural language documents, especially web documents, contain wrong information. As a result, it is important to investigate a method of detecting and correcting wrong information in natural language documents when we develop a knowledge base by using them. In this paper, we report a method of detecting wrong information in mails posted to a mailing list and developing a knowledge base by using these mails. Then, we describe a QA system which can answer how type questions based on the knowledge base and show that question and answer mails posted to a mailing list can be used as a knowledge base for a QA system.