A Set Space Model to Capture Structural Information of a Sentence
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DOI: 10.1109/access.2019.2944559
Abstract: The context of a sentence is composed of a limited number of words. This leads to the feature sparsity problem whereby the sentence’s meaning is easily influenced by language phenomena such as polysemy, ambiguity and… read more here.
Keywords: structural information; set space; sentence; capture structural ... See more keywords