The Role of Non-Ambiguous Words in Natural Language Disambiguation

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This article discusses the role of non-ambiguous words in natural language disambiguation.

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8 p.

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Mihalcea, Rada, 1974- September 2003.

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This article discusses the role of non-ambiguous words in natural language disambiguation.

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8 p.

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Abstract: This paper describes an unsupervised approach for natural language disambiguation, applicable to ambiguity problems where classes of equivalence can be defined over the set of words in a lexicon. Lexical knowledge is induced from non-ambiguous words via classes of equivalence, and enables the automatic generation of annotated corpora. The only requirements are a lexicon and a raw textual corpus. The method was tested on two natural language ambiguity tasks in several languages: part of speech tagging (English, Swedish, Chinese), and word sense disambiguation (English, Romanian). Classifiers trained on automatically constructed corpora were found to have a performance comparable with classifiers that learn from expensive manually annotated data.

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  • Conference on Recent Advancees in Natural Language Processing (RANLP), September 10-12, 2003. Borovetz, Bulgaria

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  • September 2003

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  • Jan. 31, 2011, 2:01 p.m.

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Mihalcea, Rada, 1974-. The Role of Non-Ambiguous Words in Natural Language Disambiguation, paper, September 2003; (https://digital.library.unt.edu/ark:/67531/metadc30951/: accessed April 16, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

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