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Title

A Rule-Based Relation Extraction System using DBpedia and Syntactic Parsing
Author
Nebhi, Kamel
Published in Proceedings of the NLP-DBPEDIA-2013 Workshop co-located with the 12th International Semantic Web Conference (ISWC 2013). Sydney (Australia) - 22 October 2013 - . 2013
Abstract In this paper, we present a rule-based relation extraction approach which uses DBpedia and linguistic information provided by the syntactic parser Fips. Our goal is twofold: (i) the morpho-syntactic patterns are defined using the syntactic parser Fips to identify relations between named entities (ii) the RDF triples extracted from DBpedia are used to improve RE task by creating gazetteer relations.
Keywords Relation extraction — Information extraction — Linked open data
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Proceedings chapter (Published version) (243 Kb) - public document Free access
Structures
Centres et instituts / Centre universitaire d'informatique
Faculté des lettres / Département de linguistique
Research group Laboratoire d'Analyse et de Traitement du Langage (LATL)
Citation
(ISO format) 		NEBHI, Kamel. A Rule-Based Relation Extraction System using DBpedia and Syntactic Parsing. In: Proceedings of the NLP-DBPEDIA-2013 Workshop co-located with the 12th International Semantic Web Conference (ISWC 2013). Sydney (Australia). [s.l.] : [s.n.], 2013. https://archive-ouverte.unige.ch/unige:31070

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Deposited on : 2013-11-15

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