A Logic Programming Framework for Semantic Interpretation with WordNet and PageRank

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This paper discusses a logic programming framework for semantic interpretation with WordNet and PageRank.

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14 p.

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Tarau, Paul; Mihalcea, Rada, 1974- & Figa, Elizabeth September 8, 2004.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Engineering to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 425 times. More information about this paper can be viewed below.

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This paper discusses a logic programming framework for semantic interpretation with WordNet and PageRank.

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14 p.

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Abstract: This paper describes applications of Logic Programming to Natural Language processing in combination with graph-algorithms and statistical methods. Google's PageRank and similar fast-converging recursive graph algorithms have provided practical means to statistically rank vertices of large graphs like the World Wide Web. By combining a fast Java-based PageRank implementation with a Prolog base inferential layer, running on top of an optimized WordNet graph, the authors describe applications to word sense disambiguation and evaluate their accuracy in comparison with human annotated corpus data.

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  • Fourth Colloquium on Implementation of Constraint and Logic Programming Systems (CICLOPS), September 8, 2004. Saint-Malo, France

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  • September 8, 2004

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  • Jan. 31, 2011, 2:01 p.m.

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  • Nov. 30, 2023, 2:30 p.m.

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Tarau, Paul; Mihalcea, Rada, 1974- & Figa, Elizabeth. A Logic Programming Framework for Semantic Interpretation with WordNet and PageRank, paper, September 8, 2004; (https://digital.library.unt.edu/ark:/67531/metadc30952/: accessed May 15, 2025), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

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