Achille Falaise

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OMNIA is an on-going project that aims to retrieve images accompanied with multilingual texts. In this paper, we propose a generic method (language and domain independent) to extract conceptual information from such texts and spontaneous user requests. First, texts are labelled with interlingual annotation, then a generic extractor taking a domain ontology(More)
This paper describes OMNIA, a system and interface for searching in multimodal image collections. OMNIA includes a set of tools which allow the user to retrieve assets using different features. The tools are based on extracting different types of asset features, which are content, aesthetic, and emotion. Visual-based features are used to retrieve assets(More)
The exploitation of syntactically analysed corpora (or treebanks) by non NLP­specialist is not a trivial problem. If the NLP community wants to make publicly available corpora with complex annotations, it is imperative to develop simple interfaces capable of handling advanced queries. In this paper, we present query methods developed during the Scientext(More)
_____________________________________________________________________ Adaptation of the corpus platform ScienQuest for assistance to writing in a second language The ScienQuest platform was initially created for the linguistic study of positioning and reasoning in the Scientext corpus. This demonstration introduces modifications to this platform,(More)
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