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Entropy of Polysemantic Words for the Same Part of Speech
MIHAELA COLHONFLORENTIN SMARANDACHEDAN VALERIU VOINEA
出版Infinite Study
主題Mathematics / Applied
URLhttp://books.google.com.hk/books?id=MSn7DwAAQBAJ&hl=&source=gbs_api
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註釋In this paper, a special type of polysemantic words, that is, words with multiple meanings for the same part of speech, are analyzed under the name of neutrosophic words. These words represent the most difcult cases for the disambiguation algorithms as they represent the most ambiguous natural language utterances. For approximate their meanings, we developed a semantic representation framework made by means of concepts from neutrosophic theory and entropy measure in which we incorporate sense related data. We show the advantages of the proposed framework in a sentiment classication task.