Journal article
Getting answers to natural language questions on the Web
Journal of the American Society for Information Science and Technology, Vol.53(5), pp.359-364
03/01/2002
DOI: 10.1002/asi.10053
Abstract
Most popular search engines are not designed for answering natural language questions. However, when we asked hundreds of natural language questions of nine leading search engines, all retrieved at least one correct answer on more than three-quarters of the questions. We identified the best-performing search engines overall for factual natural language questions. We found performance differences depending on the domain of factual question asked. Other aspects of questions also predicted significantly different performance: the number of words in the question, the presence of a proper noun, and whether the question is time dependent. An additional analysis tested for differential performance by specific search engines on these four question factors. The analysis found no evidence for such interactions.
Details
- Title: Subtitle
- Getting answers to natural language questions on the Web
- Creators
- Dragomir R. Radev - University of MichiganKelsey Libner - University of MichiganWeiguo Fan - University of Michigan
- Resource Type
- Journal article
- Publication Details
- Journal of the American Society for Information Science and Technology, Vol.53(5), pp.359-364
- DOI
- 10.1002/asi.10053
- ISSN
- 1532-2882
- eISSN
- 1532-2890
- Publisher
- Wiley Subscription Services, Inc., A Wiley Company
- Number of pages
- 6
- Language
- English
- Date published
- 03/01/2002
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380442502771
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