Bootstrap voting experts

Daniel Hewlett, Paul Cohen

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    19 Scopus citations

    Abstract

    BOOTSTRAP VOTING EXPERTS (BVE) is an extension to the VOTING EXPERTS algorithm for unsupervised chunking of sequences. BVE generates a series of segmentations, each of which incorporates knowledge gained from the previous segmentation. We show that this method of bootstrapping improves the performance of VOTING EXPERTS in a variety of unsupervised word segmentation scenarios, and generally improves both precision and recall of the algorithm. We also show that Minimum Description Length (MDL) can be used to choose nearly optimal parameters for VOTING EXPERTS in an unsupervised manner.

    Original languageEnglish (US)
    Title of host publicationIJCAI-09 - Proceedings of the 21st International Joint Conference on Artificial Intelligence
    PublisherInternational Joint Conferences on Artificial Intelligence
    Pages1071-1076
    Number of pages6
    ISBN (Print)9781577354260
    StatePublished - 2009
    Event21st International Joint Conference on Artificial Intelligence, IJCAI 2009 - Pasadena, United States
    Duration: Jul 11 2009Jul 16 2009

    Publication series

    NameIJCAI International Joint Conference on Artificial Intelligence
    ISSN (Print)1045-0823

    Conference

    Conference21st International Joint Conference on Artificial Intelligence, IJCAI 2009
    Country/TerritoryUnited States
    CityPasadena
    Period7/11/097/16/09

    ASJC Scopus subject areas

    • Artificial Intelligence

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