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Decomposing word embedding with the capsule network

Knowledge-Based Systems(2021)

Cited 9|Views81
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Abstract
Word sense disambiguation tries to learn the appropriate sense of an ambiguous word in a given context. The existing pre-trained language methods and the methods based on multi-embeddings of word did not explore the power of the unsupervised word embedding sufficiently.
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Key words
Word sense learning,Capsule network,Word-in-Context,English all-words Word Sense Disambiguation
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