[PDF][PDF] Linguistic knowledge can improve information retrieval
WA Woods, LA Bookman, A Houston… - Sixth Applied Natural …, 2000 - aclanthology.org
WA Woods, LA Bookman, A Houston, RJ Kuhns, P Martin, SJ Green
Sixth Applied Natural Language Processing Conference, 2000•aclanthology.orgThis paper describes the results of some experiments using a new approach to information
access that combines techniques from natural language processing and knowledge
representation with a penaltybased technique for relevance estimation and passage
retrieval. Unlike many attempts to combine natural language processing with information
retrieval, these results show substantial benefit from using linguistic knowledge.
access that combines techniques from natural language processing and knowledge
representation with a penaltybased technique for relevance estimation and passage
retrieval. Unlike many attempts to combine natural language processing with information
retrieval, these results show substantial benefit from using linguistic knowledge.
Abstract
This paper describes the results of some experiments using a new approach to information access that combines techniques from natural language processing and knowledge representation with a penaltybased technique for relevance estimation and passage retrieval. Unlike many attempts to combine natural language processing with information retrieval, these results show substantial benefit from using linguistic knowledge.
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