DocumentCode :
552898
Title :
Adaptive query-based model for improved ranking in closed domain factoid question answering
Author :
Huey Ling Toh ; Hawkes, L.W. ; Lacher, R.C.
Author_Institution :
Dept. of Comput. Sci., Florida State Univ., Tallahassee, FL, USA
fYear :
2010
fDate :
28-30 June 2010
Firstpage :
260
Lastpage :
265
Abstract :
The closed domain question answering QA systems achieve precision and recall at the cost of complex language processing techniques to parse the answer corpus. The task of locating the search phrase in the small answer corpus is non-trivial, as there are fewer answers to search from. We propose a query-based model for indexing answers in a closed domain factoid question answering system. Further, we use a phrase term inference method for improving the ranking order of related questions. Our solution offers an adaptive, lightweight approach to a factoid question answering system for domain specific knowledge bases with significantly simplified language processing techniques.
Keywords :
indexing; inference mechanisms; knowledge based systems; natural language processing; query processing; adaptive query based model; answer indexing; closed domain factoid question answering; complex language processing techniques; domain specific knowledge bases; phrase term inference method; Binary search trees; Correlation; Indexing; Knowledge based systems; Thesauri;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Society (i-Society), 2010 International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4577-1823-6
Electronic_ISBN :
978-0-9564263-3-8
Type :
conf
Filename :
6018709
Link To Document :
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