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A Perception Based, Domain Specific Expert System for Question-Answering Support
Hong Kong, China December 18-December 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2006.222006 IEEE/WIC/ACM International Confe ...
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Raheel Ahmad, Southern Illinois University, USA
Shahram Rahimi, Southern Illinois University, USA
The current search engine technologies mostly use a keyword based searching mechanism, which does not have any deductive abilities. There is an urgent need for a more intellgent question-answering system that will provide a more intuitive, natural language interface, and more accurate and direct search results. The introduction of Computing with Words (CwW) provides a new theoretical base for developing frameworks with support for dealing with information in natural language. This paper proposes a domain specific question-answering system based on Fuzzy Expert Systems using CwW. In order to perform the translation of natural language based information into a standard format for use with CwW, Probabilistic Context-Free Grammar is used.
Citation:
Raheel Ahmad, Shahram Rahimi, "A Perception Based, Domain Specific Expert System for Question-Answering Support," wi, pp.893-896, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 2006
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