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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
TREC (Text REtrieval Conference), http://trec.nist.gov/
NTCIR (NII-NACSIS Test Collection for IR Systems) project, http://research.nii.ac.jp/ntcir/index-en.html
Kurohashi, Higasa: Dialogue Helpsystem based on Flexible Matching of User Query with Natural Language Knowledge Base. In: 1st ACL SIGdial Workshop on Discourse and Dialogue, pp. 141–149 (2000)
Kiyota, Kurohashi, Kido: “Dialog Navigator” A Question Answering System based on Large Text Knowledge Base. In: 19th COLING (COLING 2002), pp. 460–466 (August 2002)
Kurohashi, Nagao: A syntactic analysis method of long Japanese sentences based on the detection of conjunctive structures. Computational Linguistics 20(4), 507–534 (1994)
Kurohashi, Nagao: JUMAN Manual version 3.6 (in Japanese), Nagao Lab., Kyoto University (1998)
Mihara, fujii, Ishikawa: Helpdesk-oriented Question Answering Focusing on Actions (in Japanese). In: 11th Convention of NLP, pp. 1096–1099 (2005)
Watanabe, Sono, Yokomizo, Okada: A Question Answer System Using Mails Posted to a Mailing List. In: ACM DocEng 2004, pp. 67–73 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Watanabe, Y., Nishimura, R., Okada, Y. (2005). Confirmed Knowledge Acquisition Using Mails Posted to a Mailing List. In: Dale, R., Wong, KF., Su, J., Kwong, O.Y. (eds) Natural Language Processing – IJCNLP 2005. IJCNLP 2005. Lecture Notes in Computer Science(), vol 3651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562214_12
Download citation
DOI: https://doi.org/10.1007/11562214_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29172-5
Online ISBN: 978-3-540-31724-1
eBook Packages: Computer ScienceComputer Science (R0)