Paper: Summarization-based Query Expansion in Information Retrieval

ACL ID P98-2205
Title Summarization-based Query Expansion in Information Retrieval
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1998
Authors

We discuss a seml-interactive approach to infor- mation retrieval which consists of two tasks per- formed in a sequence. First, the system assists the searcher in building a comprehensive statement of information need, using automatically generated topical summaries of sample documents. Second, the detailed statement of information need is auto- matically processed by a series of natural language processing routines in order to derive an optimal search query for a statistical information retrieval system. In this paper, we investigate the role of au- tomated document summarization in building effec- tive search statements. We also discuss the results of latest evaluation of our system at the annual Text Retrieval Conference (TKEC). Information Ret~rieval Information retrieval (IR) is a tas...