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We exploit and extend the Generative Lexicon Theory to develop a formal description of adnominal constituents in a lexicon which can deal with linguistic phenomena found in Japanese adnominal constituents. We classify the problematic behavior into "static disambiguation" and "dynamic disambiguation" tasks. Static disambiguation can be done using lexical information in a dictionary, whereas dynamic disambiguation requires inferences at the knowledge representation level. 1 Introduction Natural language processing must disambiguate polysemous constituents in the input sentences. . | Lexical Semantics to Disambiguate Polysemous Phenomena of Japanese Adnominal Constituents Hitoshi Isahara and Kyoko Kanzaki Communications Research Laboratory 588-2 Iwaoka Iwaoka-cho Nishi-ku Kobe Hyogo 651-2401 Japan isahara kanzakij@crl.go.jp Abstract We exploit and extend the Generative Lexicon Theory to develop a formal description of adnominal constituents in a lexicon which can deal with linguistic phenomena found in Japanese adnominal constituents. We classify the problematic behavior into static disambiguation and dynamic disambiguation tasks. Static disambiguation can be done using lexical information in a dictionary whereas dynamic disambiguation requires inferences at the knowledge representation level. 1 Introduction Natural language processing must disambiguate polysemous constituents in the input sentences. A good description of information necessary for disambiguation in the lexicon is crucial in high quality NLP systems. This paper discusses the treatment of linguistic phenomena in Japanese adnominal constituents and it focuses on how to generate the same semantic representation from different syntactic structures and how to generate different semantic representations from a semantically ambiguous sentence. We exploit and extend the Generative Lexicon Theory Pustejovsky 1995 Bouillon 1996 to develop a formal description of adnominal constituents in a lexicon which can offer a solution to these problems. We classify the problematic behavior of Japanese adnominal constituents into static disambiguation and dynamic disambiguation tasks. Whereas static disambiguation can be done using the lexical information in a dictionary dynamic disambiguation needs inferences at the knowledge representation level. This paper mainly discusses dynamic disambiguation. 2 Classification of the Usage of Japanese Adnominal Constituents On consideration of the syntactic relations between adnominal constituents and their head nouns we find that some adnominal constituents .