Word Representation Learning is a computational framework within natural language processing that systematically maps linguistic units to dense vector spaces by capturing syntactic and semantic relationships through distributional patterns in large text corpora.
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Distributed Representations of Words and Phrases and their Compositionality
Tomáš Mikolov, Ilya Sutskever, Kai Chen et al. · arXiv (Cornell University) · 2013 · 18.1K citations · Full text
Convolutional Neural Networks for Sentence Classification
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Tsinghua University
Beijing, China
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Microsoft (United States)
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