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Senseval: The CL Research Experience

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Abstract

The CL Research Senseval system wasthe highest performing system among the ``All-words''systems, with an overall fine-grained score of 61.6percent for precision and 60.5 percent for recall on98 percent of the 8,448 texts on the revisedsubmission (up by almost 6 and 9 percent from thefirst). The results were achieved with an almostcomplete reliance on syntactic behavior, using (1) arobust and fast ATN-style parser producing parse treeswith annotations on nodes, (2) DIMAP dictionarycreation and maintenance software (after conversion ofthe Hector dictionary files) to hold dictionaryentries, and (3) a strategy for analyzing the parsetrees in concert with the dictionary data. Furtherconsiderable improvements are possible in the parser,exploitation of the Hector data (and representation ofdictionary entries), and the analysis strategy, stillwith syntactic and collocational data. The Sensevaldata (the dictionary entries and the corpora) providean excellent testbed for understanding the sources offailures and for evaluating changes in the CL Researchsystem.

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References

  • Litkowski, K.C. and M.D. Harris. Category Development Using Complete Semantic Networks, Technical Report 97–01. Gaithersburg, MD: CL Research, 1997.

    Google Scholar 

  • Miller, G.A., R. Beckwith, C. Fellbaum, D. Gross and K.J. Miller. "Introduction to WordNet: An On-Line Lexical Database". International Journal of Lexicography, 3(4) (1990), 235–244.

    Google Scholar 

  • Oxford Advanced Learner's Dictionary, 4th edn. Oxford, England: Oxford University Press, 1989.

  • Richardson, S.D. Determining Similarity and Inferring Relations in a Lexical Knowledge Base [Diss]. New York, NY: The City University of New York, 1997.

    Google Scholar 

  • Wilks, Y. and M. Stevenson. "Sense Tagging: Semantic Tagging with a Lexicon". In: Tagging Text with Lexical Semantics: Why, What, and How? SIGLEX Workshop. Washington, D.C.: Association for Computational Linguistics, April 4–5 1997.

    Google Scholar 

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Litkowski, K.C. Senseval: The CL Research Experience. Computers and the Humanities 34, 153–158 (2000). https://doi.org/10.1023/A:1002463718479

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  • DOI: https://doi.org/10.1023/A:1002463718479

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