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Automated question answering: Review of the main approaches
KTH, School of Information and Communication Technology (ICT), Computer and Systems Sciences, DSV.
KTH, School of Information and Communication Technology (ICT), Computer and Systems Sciences, DSV.
2005 (English)In: Third International Conference on Information Technology and Applications, Vol 1, Proceedings / [ed] He, X; Hintz, T; Piccardi, M; Wu, Q; Huang, M; Tien, D, 2005, 514-519 p.Conference paper, Published paper (Refereed)
Abstract [en]

Automated Question-Answering aims at delivering concise information that contains answers to user questions. This paper reviews and compares three main question-answering approaches based on Natural Language Processing, Information Retrieval, and question templates, eliciting their differences and the context of application that best suits each of them.

Place, publisher, year, edition, pages
2005. 514-519 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-43344DOI: 10.1109/ICITA.2005.78ISI: 000230662800096Scopus ID: 2-s2.0-33646759562ISBN: 0-7695-2316-1 (print)OAI: oai:DiVA.org:kth-43344DiVA: diva2:448386
Conference
3rd International Conference on Information Technology and Applications Location: Sydney, Australia, Date: JUL 04-07, 2005
Note
QC 20111017Available from: 2011-10-17 Created: 2011-10-14 Last updated: 2011-10-17Bibliographically approved

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