Computational models of learning the idiosyncrasy of multiword expressions

Bibtex entry :

@phdthesis { farahmand2017:phd,
    author = { Farahmand, Meghdad },
    title = { Computational models of learning the idiosyncrasy of multiword expressions },
    school = { Viper group, CS Department, University of Geneva },
    year = { 2017 },
    month = { July },
    url = { https://archive-ouverte.unige.ch/unige:96989 },
}
--

Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion