Determining Prepositional Attachment, Prepositional Meaning, Verb Meaning, And Thematic Roles

    Authors

    F. Gomez; C. Segami;R. Hull

    Comments

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    Abbreviated Journal Title

    Comput. Intell.

    Keywords

    natural language processing; semantic interpretation; prepositional; attachment; thematic roles; verb polysemy; SENTENCE; Computer Science, Artificial Intelligence

    Abstract

    An algorithm for semantic interpretation that integrates the determination of the meaning of verbs, the attachment and meaning of prepositions, and the determination of thematic roles is presented. The parser does not resolve structural ambiguity, which is solely the task of the semantic interpreter. Lexical semantic information about nouns and verbs is applied to the resolution of verb polysemy and modifier attachment. Semantic interpretation is centered on the representation of the meaning of the verb, called verbal concept. Verbal concepts are organized into a classification hierarchy. As long as the meaning of the verb remains unknown, parsing proceeds on a syntactic basis. Once the meaning of the verb is recognized, the semantic component makes sense of the syntactic relations built so far by the parser and of those still to be parsed. The algorithm has been implemented and tested on real-world texts.

    Journal Title

    Computational Intelligence

    Volume

    13

    Issue/Number

    1

    Publication Date

    1-1-1997

    Document Type

    Article

    Language

    English

    First Page

    1

    Last Page

    31

    WOS Identifier

    WOS:A1997WN89500001

    ISSN

    0824-7935

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