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Automated question-answering techniques and the medical domain
KTH, School of Information and Communication Technology (ICT), Computer and Systems Sciences, DSV.
2008 (English)In: HEALTHINF 2008: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON HEALTH INFORMATICS, VOL 2 / [ed] Azevedo, L; Londral, AR, SETUBAL: INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION , 2008, 207-212 p.Conference paper, Published paper (Refereed)
Abstract [en]

The question-answering (QA) paradigm, i.e. the process of retrieving precise answers to natural language (NL) questions, was introduced in late 1960-ies and early 1970-ies within the framework of Artificial Intelligence. The advent of WWW and the need to provide advanced, user-friendly search tools has extended the QA paradigm to a larger audience of people and a larger number of fields, including medicine. 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 within the medical domain.

Place, publisher, year, edition, pages
SETUBAL: INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION , 2008. 207-212 p.
Keyword [en]
automated question answering, natural language interfaces, medical applications
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-38656ISI: 000256698200037Scopus ID: 2-s2.0-57549113936ISBN: 978-989-8111-16-6 (print)OAI: oai:DiVA.org:kth-38656DiVA: diva2:448699
Conference
1st International Conference on Health Informatics (HEALTHINF 2008), Funchal, PORTUGAL, JAN 28-31, 2008
Note
QC 20111018Available from: 2011-10-18 Created: 2011-08-31 Last updated: 2011-10-18Bibliographically approved

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Citation style
  • apa
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  • de-DE
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Output format
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