Document categorization using multilingual associative networks based on Wikipedia

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    Abstract

    Associative networks are a connectionist language model with the ability to categorize large sets of documents. In this research we combine monolingual associative networks based on Wikipedia to create a larger, multilingual associative network, using the cross-lingual connections between Wikipedia articles. We prove that such multilingual associative networks perform better than monolingual associative networks in tasks related to document categorization by comparing the results of both types of associative network on a multilingual dataset.
    Original languageUndefined
    Title of host publicationWWW 2015 Companion. Proceedings of the 24th International Conference on World Wide Web
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Pages841-846
    Number of pages6
    ISBN (Print)978-1-4503-3473-0
    DOIs
    Publication statusPublished - May 2015
    Event24th International World Wide Web Conference, WWW 2015: WWW2015 - Florence, Florence, Italy
    Duration: 18 May 201522 May 2015
    Conference number: 24
    http://www2015.wwwconference.org/
    http://www.www2015.it/

    Publication series

    Name
    PublisherACM

    Conference

    Conference24th International World Wide Web Conference, WWW 2015
    Abbreviated titleWWW
    CountryItaly
    CityFlorence
    Period18/05/1522/05/15
    Internet address

    Keywords

    • EWI-25995
    • METIS-312590
    • IR-96796

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