Linguistic Knowledge can Improve Information Retrieval

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.

• Type: Conference
• Year: 2000
• Where: ANLP
• Authors: William A. Woods, Lawrence A. Bookman, Ann Houston, Robert J. Kuhns, Paul Martin, Stephen J. Green
• Keywords: ANLP 2000, Knowledge Representation, Natural Language Processing, Passage Retrieval