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- W1879609565 abstract "AbstractWith the wide usage of Wikipedia in research and applications,disambiguation of concepts and entities to Wikipedia is an essential component in natural language processing. This paper addresses the task of identifying and linking specific words or phrases in a text to their referents described by Wikipedia articles. In this work, we propose a method that combines some heuristics with a statistical model for disambiguation. The method exploits disambiguated entities to disambiguate the others in an incremental process. Experiments are conducted to evaluate and show the advantages of the proposed method.KeywordsNoun PhraseName Entity RecognitionIncremental ProcessName EntityLocal WordThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W1879609565 date "2012-01-01" @default.
- W1879609565 modified "2023-09-23" @default.
- W1879609565 title "Heuristics- and Statistics-Based Wikification" @default.
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- W1879609565 doi "https://doi.org/10.1007/978-3-642-32695-0_90" @default.
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