{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T00:34:35Z","timestamp":1725842075537},"reference-count":0,"publisher":"National Library of Serbia","issue":"1","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ComSIS","COMPUT SCI INF SYST","COMPUT SCI INFORM SY","COMPUTER SCI INFORM","COMSIS J"],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>This paper describes methods using Natural Language Processing approaches to\n   extract and validate induced syntactic relations (here restricted to the\n   Verb-Object relation). These methods use a syntactic parser and a semantic\n   closeness measure to extract such relations. Then, their validation is based\n   on two different techniques: A Web Validation system on one part, then a\n   Semantic-Vectorbased approach, and finally different combinations of both\n   techniques in order to rank induced Verb-Object relations. The Semantic\n   Vector approach is a Roget-based method which computes a syntactic relation\n   as a vector. Web Validation uses a search engine to determine the relevance\n   of a syntactic relation according to its popularity. An experimental protocol\n   is set up to judge automatically the relevance of the sorted induced\n   relations. We finally apply our approach on a French corpus of news by using\n   ROC Curves to evaluate the results.<\/jats:p>","DOI":"10.2298\/csis130528021b","type":"journal-article","created":{"date-parts":[[2014,1,3]],"date-time":"2014-01-03T11:37:09Z","timestamp":1388749029000},"page":"133-155","source":"Crossref","is-referenced-by-count":4,"title":["How to combine text-mining methods to validate induced Verb-Object relations?"],"prefix":"10.2298","volume":"11","author":[{"given":"Nicolas","family":"B\u00e9chet","sequence":"first","affiliation":[{"name":"GREYC - UMR, CNRS - Univ. de Caen Basse-Normandie, Caen Cedex, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacques","family":"Chauch\u00e9","sequence":"additional","affiliation":[{"name":"LIRMM - UMR, CNRS - Univ. Montpellier, Montpellier, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Violaine","family":"Prince","sequence":"additional","affiliation":[{"name":"LIRMM - UMR, CNRS - Univ. Montpellier, Montpellier, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mathieu","family":"Roche","sequence":"additional","affiliation":[{"name":"LIRMM - UMR, CNRS - Univ. Montpellier, Montpellier, France + TETIS - Cirad, Montpellier Cedex, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1078","container-title":["Computer Science and Information Systems"],"original-title":[],"language":"en","deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T08:31:33Z","timestamp":1685349093000},"score":1,"resource":{"primary":{"URL":"https:\/\/doiserbia.nb.rs\/Article.aspx?ID=1820-02141400021B"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2014]]}},"URL":"https:\/\/doi.org\/10.2298\/csis130528021b","relation":{},"ISSN":["1820-0214","2406-1018"],"issn-type":[{"value":"1820-0214","type":"print"},{"value":"2406-1018","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}