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Ontology driven content extraction using interlingual annotation of texts in the OMNIA project

Abstract : OMNIA is an on-going project that aims to retrieve images accompanied with multilingual texts. In this paper, we pro- pose a generic method (language and do- main independent) to extract conceptual information from such texts and sponta- neous user requests. First, texts are la- belled with interlingual annotation, then a generic extractor taking a domain on- tology as a parameter extract relevant conceptual information. Implementation is also presented with a first experiment and preliminary results.
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https://hal.archives-ouvertes.fr/hal-00959171
Contributor : Didier Schwab <>
Submitted on : Friday, March 14, 2014 - 9:18:48 AM
Last modification on : Friday, July 17, 2020 - 11:10:26 AM

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Achille Falaise, David Rouquet, Didier Schwab, Hervé Blanchon, Christian Boitet. Ontology driven content extraction using interlingual annotation of texts in the OMNIA project. CLIA workshop, COLING 2010, 2010, Beijing, China. pp.x-x. ⟨hal-00959171⟩

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