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Titlebook: Natural Language Processing and Information Systems; 18th International C Elisabeth Métais,Farid Meziane,Sunil Vadera Conference proceeding

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Exploiting Query Logs and Field-Based Models to Address Term Mismatch in an HIV/AIDS FAQ Retrieval Stion need are often different from those used in the relevant FAQ documents. This lexical disagreement (aka term mismatch) can result in a less effective ranking of the relevant FAQ documents by retrieval systems that rely on keyword matching in their weighting models. In this paper, we tackle such
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A Corpus-Based Approach for the Induction of Ontology Lexical information stating how the properties and classes are realized lexically. If at all, typically only one label is attached to these properties, thus lacking any deeper syntactic information, e.g. about syntactic arguments and how these map to the semantic arguments of the property as well as about
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Cross-Lingual Natural Language Querying over the Web of Data knowledge graphs of marked up Web data. However, much of this knowledge is only available in English, affecting effective information access in the multilingual Web. A particular challenge arises from the vocabulary gap resulting from the difference in the query and the data languages. In this pape
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