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Automated Question Answering : Review of the Main Approaches
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- Andrenucci, Andrea (author)
- KTH,Stockholms universitet,Institutionen för data- och systemvetenskap,Data- och systemvetenskap, DSV
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- Sneiders, Eriks (author)
- KTH,Stockholms universitet,Institutionen för data- och systemvetenskap,Data- och systemvetenskap, DSV
- (creator_code:org_t)
- IEEE, 2005
- 2005
- English.
- In: Third International Conference on Information Technology and Applications. - : IEEE. - 0769523161
- Conference paper (peer-reviewed)
Abstract
Subject headings
Close
- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Keyword
- Computer and Systems Sciences
- data- och systemvetenskap
Publication and Content Type
- ref (subject category)
- kon (subject category)
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