An approach to natural language for document retrieval

B. Croft
1987 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '87  
Document retrieval systems have been restricted, by the nature of tile task, to techniques that can be used with large numbers of documents and broad domains. The most effective techniques that have been developed are based on the statistics of word occurrences ill text. In this paper, we describe an approach to using natural language processiag (NLP) techniques for what is essentially a natural language problem -the comparison of a request text with the text of document titles and abstracts.
more » ... e proposed NLP techniques are used to develop a request model based on "conceptual case frames" and to compare this model with the texts of candidate documents. The request model is also used to provide information to statistical search techniques that identify the candidate documents. As part of a preliminary evaluation of this approach, case frame representations of a set of requests from the CACM collection were constructed. Statistical searches carried out using dependency and relative importance information derived from the request models indicate that performance benefits can be obtained.
doi:10.1145/42005.42009 dblp:conf/sigir/CroftL87 fatcat:yddpk576ljcmhbwbubk6n36cx4