A Knowledge-based Representation for Cross-Language Document Retrieval and Categorization
Marc Franco-Salvador, Paolo Rosso, Roberto Navigli · 2014
Current approaches to cross-language doc-ument retrieval and categorization are based on discriminative methods which represent documents in a low-dimensional vector space. In this paper we pro-pose a shift from the supervised to the knowledge-based paradigm and provide a document similarity measure which draws on BabelNet, a large multilingual knowl-edge resource. Our experiments show state-of-the-art results in cross-lingual document retrieval and categorization. 1