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A question answer system based on confirmed knowledge acquired from a mailing list

A question answer system based on confirmed knowledge acquired from a mailing list Purpose – This paper aims to report a QA system that can answer how‐type questions based on confirmed knowledge acquired from mails, posted to a mailing list. It aims to propose a method of detecting incorrect information in mails posted to a mailing list (ML) by using mails that ML participants submitted for correcting incorrect information in previous mails. Design/methodology/approach – The paper discusses a problem of acquiring knowledge from natural language documents, then proposes a method to give these mails three kinds of confirmation labels, positive, negative, and other, depending on their credibility. Findings – The paper shows a QA system based on the confirmed knowledge. It finds mail questions that are similar to the user's question and gives answers and their confirmation labels to the user. By using the confirmation labels, the user can easily choose the information that can solve his or her problem. Originality/value – The study describes a method of detecting incorrect information in mails posted to a mailing list and acquiring confirmed knowledge from them. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Internet Research Emerald Publishing

A question answer system based on confirmed knowledge acquired from a mailing list

Internet Research , Volume 18 (2): 12 – Apr 4, 2008

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References (15)

Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
1066-2243
DOI
10.1108/10662240810862220
Publisher site
See Article on Publisher Site

Abstract

Purpose – This paper aims to report a QA system that can answer how‐type questions based on confirmed knowledge acquired from mails, posted to a mailing list. It aims to propose a method of detecting incorrect information in mails posted to a mailing list (ML) by using mails that ML participants submitted for correcting incorrect information in previous mails. Design/methodology/approach – The paper discusses a problem of acquiring knowledge from natural language documents, then proposes a method to give these mails three kinds of confirmation labels, positive, negative, and other, depending on their credibility. Findings – The paper shows a QA system based on the confirmed knowledge. It finds mail questions that are similar to the user's question and gives answers and their confirmation labels to the user. By using the confirmation labels, the user can easily choose the information that can solve his or her problem. Originality/value – The study describes a method of detecting incorrect information in mails posted to a mailing list and acquiring confirmed knowledge from them.

Journal

Internet ResearchEmerald Publishing

Published: Apr 4, 2008

Keywords: Knowledge management; Mailing lists; System documentation; Questionnaires

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