The Constituent Object Parser: Syntactic Structure Matching for Information Retrieval Douglas P. Metzler and Stephanie W. Haas Department of Information Science University of Pittsburgh 1. Introduction There has long been interest in the idea of using reason for the rather limited successenjoyed by previous syntactic information as part of an information retrieval strategy. People clearly gather information about the meaning of text (e.g., a sentence)both from the meanings of the individual words contained in it and from the structure in which the individual pieces sic put together. Since syntax reflects this structure, it would seem that using syntactic information in addition to information about the presenceof query terms would increasethe performance of an information retrieval system.Conventional information retrieval systems do not employ syntactic information. They are primarily term based. Thesauri or similar methods can be used to generalize or speciaiize the actual terms included in the query. But or~ly crude constraints on the organizational relationships between terms may be expressed,such as that they must appear in the same sentence,or within a given number of words of each other, or in a certain order. There is no way to express syntactic relationships, such as which term is the
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The constituent object parser: syntactic structure matching for information retrieval
Metzler, D. P.; Haas, S. W.
Follow ACM SIGIR Forum
, Volume 23 (SI)
Association for Computing Machinery – Jun 25, 1989
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