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Title

Ontology-Based Information Extraction from Twitter
Author
Nebhi, Kamel
Published in Proceedings of the Workshop on Information Extraction and Entity Analytics on Social Media Data - COLING 2012. Mumbai (India) - December 2012 - The COLING 2012 Organizing Committee. 2012, p. 17-22
Abstract The popular microblogging service Twitter provides a vast amount of short messages that contains interesting information for Information Extraction tasks. This paper presents a rule-based system for the recognition and semantic disambiguation of named entities in tweets. As our experimental results shows, performance of this approach measured through BDM looks promising when using Linked Data as Freebase and syntactical context for disambiguation.
Keywords Ontology-based Information Extraction — Disambiguation — Twitter — Linked Data
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Proceedings chapter (Published version) (409 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. Ontology-Based Information Extraction from Twitter. In: Proceedings of the Workshop on Information Extraction and Entity Analytics on Social Media Data - COLING 2012. Mumbai (India). [s.l.] : The COLING 2012 Organizing Committee, 2012. p. 17-22. https://archive-ouverte.unige.ch/unige:24683

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Deposited on : 2012-12-17

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