| Solving grammatical ambiguities within a surface syntactical parser for automatic indexing |
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Annual ACM Conference on Research and Development in Information Retrieval
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Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
table of contents
Palazzo dei Congressi, Pisa, Italy
Pages: 123 - 130
Year of Publication: 1986
ISBN:0-89791-187-3
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Authors
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Catherine Berrut
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Group "Systémes Intelligents de Rechetche d'Iformations", Laboratoire Géde Informatique de Grenoble (IMAG), B.P. 68 - 38402 Saint Martin d'Hèes Cédex, France
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Palmer Palmer
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Group "Systémes Intelligents de Rechetche d'Iformations", Laboratoire Géde Informatique de Grenoble (IMAG), B.P. 68 - 38402 Saint Martin d'Hèes Cédex, France
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Downloads (6 Weeks): 8, Downloads (12 Months): 15, Citation Count: 3
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 ABSTRACT
This paper describes linguistic tools specifically designed for performant automatic indexing of natural language texts. By performant indexing, we mean the ability of the system to extract noun phrases (considered as main conceptual frames regarding text content) without processing full syntactic analysis of sentences (surface analyzer) both with its ability in learning unknown words. The paper describes the overall principles of this parser, emphasizing the use of syntactic networks and precedence matrix to fulfil the above goals of reducing the analysis cost and infering new vocabularies without interrupting the indexing process.
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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