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Journal articles
How to Combine Text-Mining Methods to Validate Induced Verb-Object Relations?
Abstract : This paper describes methods using Natural Language Processing approaches to extract and validate induced syntactic relations (here restricted to the Verb-Object relation). These methods use a syntactic parser and a semantic closeness measure to extract such relations. Then, their validation is based on two different techniques: A Web Validation system on one part, then a Semantic-Vectorbased approach, and finally different combinations of both techniques in order to rank induced Verb-Object relations. The Semantic Vector 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 according to its popularity. An experimental protocol is set up to judge automatically the relevance of the sorted induced relations. We finally apply our approach on a French corpus of news by using ROC Curves to evaluate the results.
Cited literature [29 references]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01054918
Contributor : Mathieu Roche <>
Submitted on : Saturday, August 9, 2014 - 10:42:21 PM
Last modification on : Tuesday, March 17, 2020 - 2:29:14 AM
Document(s) archivé(s) le : Wednesday, November 26, 2014 - 4:55:59 PM
Contributor : Mathieu Roche <>
Submitted on : Saturday, August 9, 2014 - 10:42:21 PM
Last modification on : Tuesday, March 17, 2020 - 2:29:14 AM
Document(s) archivé(s) le : Wednesday, November 26, 2014 - 4:55:59 PM
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ComSIS_471-1305.pdf
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