Using Semantic Classes As Document Keywords

NLDB'11: Proceedings of the 16th international conference on Natural language processing and information systems(2011)

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摘要
Keyphrases are mainly words that capture the main topics of a document. We think that semantic classes can be used as keyphrases for a text. We have developed a semantic class-based WSD system that can tag the words of a text with their semantic class. A method is developed to compare the semantic classes of the words of a text with the correct ones based on statistical measures. We find that the evaluation of semantic classes considered as keyphrases is very close to 100% in most cases.
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关键词
Word Sense Disambiguation, Computational Linguistics, Support Vector Machine Algorithm, Semantic Class, Human Language Technology
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