A Hybrid Approach to Validate Induced Syntactic Relations - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2009

A Hybrid Approach to Validate Induced Syntactic Relations


We propose in this paper to use NLP approaches to extract and validate induced syntactic relations (Verb-Object). We employ syntactic parser and a semantic proximity measure to extract them. Then, we focus on a Web Validation system, a Semantic-Vector-based approach, and finally we propose approaches to combine both in order to rank induced syntactic relations. The Semantic Vectors approach is a Roget-based method which computes a syntactic relation as a vector. Web Validation uses a search engine to determine the relevance of a syntactic relation. The systems combine Web Validation approach and Semantic Vectors technique. We apply our approaches on corpus of news, using ROC curves to evaluate the results.
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Dates and versions

lirmm-00370832 , version 1 (25-03-2009)


  • HAL Id : lirmm-00370832 , version 1


Nicolas Béchet, Mathieu Roche, Jacques Chauché. A Hybrid Approach to Validate Induced Syntactic Relations. MAW'2009: International Symposium on Mining and Web, in conjunctiion with AINA'09, May 2009, Bradford, United Kingdom. ⟨lirmm-00370832⟩
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