Query processing for retrieval from large text bases
John Broglio, W. Bruce Croft · 1993
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 paper describes experiments in incremental query processing and indexing with the INQUERY information retrieval system 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 automatic concept extraction based on interword associations in a large text base.