Paper: Query Processing For Retrieval From Large Text Bases

ACL ID H93-1071
Title Query Processing For Retrieval From Large Text Bases
Venue Human Language Technologies
Session Main Conference
Year 1993
Authors

Natural language experiments in information retrieval have often been inconclusive due to the lack of large text bases with associated queries and relevance judgments. This pa- per describes experiments in incremental query processing and indexing with the INQUERY information retrieval sys- tem on the TIPSTER queries and document collection. The results measure the value of processing tailored for different query styles, use of syntactic tags to produce search phrases, recognition and application of generic concepts, and auto- matic concept extraction based on interword associations in a large text base.