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• W2896580802 abstract "Word Sense Disambiguation (WSD) is the field that seeks to determine the correct sense of a word in a given context. In this paper, we present a WSD method based on random walks over a dependency tree, whose nodes are word-senses from the WordNet. Besides, our method incorporates prior knowledge about the frequency of use of the word-senses. We observed that our results outperform several graph-based WSD methods in All-Word task of SensEval-2 and SensEval-3, including the baseline, where the nouns and verbs part-of-speech show the better improvement in their F-measure scores." @default.
• W2896580802 created "2018-10-26" @default.
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• W2896580802 date "2018-01-01" @default.
• W2896580802 modified "2023-10-06" @default.
• W2896580802 title "SenseDependency-Rank: A Word Sense Disambiguation Method Based on Random Walks and Dependency Trees" @default.
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• W2896580802 doi "https://doi.org/10.1007/978-3-319-77113-7_15" @default.
• W2896580802 hasPublicationYear "2018" @default.
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