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The constituent object parser: syntactic structure matching for information retrieval
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Source ACM Transactions on Information Systems (TOIS) archive
Volume 7 ,  Issue 3  (July 1989) table of contents
Pages: 292 - 316  
Year of Publication: 1989
ISSN:1046-8188
Authors
Douglas P. Metzler  Univ. of Pittsburgh, Pittsburgh, PA
Stephanie W. Haas  Univ. of Pittsburgh, Pittsburgh, PA
Publisher
ACM  New York, NY, USA
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ABSTRACT

The Constituent Object Parser is a shallow syntactic parser designed to produce dependency tree representations of syntactic structure that can be used to specify the intended meanings of a sentence more precisely than can the key terms of the sentence alone. It is intended to improve the precision/recall performance of information retrieval and similar text processing applications by providing more powerful matching procedures. The dependency tree representation and the relationship between the intended use of this parser and its design is described, and several problems concerning the processing of ambiguous structures are discussed.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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REVIEW

"Hilary D. Burton : Reviewer"

This paper describes the Constituent Object Parser (COP), which is a pragmatic approach to improving information retrieval results. COP creates binary dependency trees to capture the scope and dependency of the terms in each sentence of an abstr  more...

Collaborative Colleagues:
Douglas P. Metzler: colleagues
Stephanie W. Haas: colleagues