Word sense disambiguation using the classification information model: Experimental results on the SENSEVAL workshop

Ho Lee, Hae Chang Rim, Jungyun Seo

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    Abstract

    A Classification Information Model is a pattern classification model. The model decides the proper class of an input instance by integrating individual decisions, each of which is made with each feature in the pattern. Each individual decision is weighted according to the distributional property of the feature deriving the decision. An individual decision and its weight are represented as classification information which is extracted from the training instances. In the word sense disambiguation based on the model, the proper sense of an input instance is determined by the weighted sum of whole individual decisions derived from the features contained in the instance.

    Original languageEnglish
    Pages (from-to)141-146
    Number of pages6
    JournalLanguage Resources and Evaluation
    Volume34
    Issue number1-2
    Publication statusPublished - 2000

    Keywords

    • Classification Information Model
    • Classification information
    • Word sense disambiguation

    ASJC Scopus subject areas

    • Language and Linguistics
    • Education
    • Linguistics and Language
    • Library and Information Sciences

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