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GloVe: Global Vectors for Word Representation Jeffrey Pennington, Richard Socher, Christopher D. Manning Computer Science Department, Stanford University, Stanford, CA 94305 , , mann
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Document Date: 2014-09-03 12:56:14


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File Size: 2,50 MB

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FDA Phase / /

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Stanford University / /

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neural network / on-line training method / inner product / on-line training methods / on-line window-based methods / neural networks / dot product / word2vec tool / web data / power-law function / /

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Defense Advanced Research Projects Agency / Defense Threat Reduction Agency / US government / Stanford University / Christopher D. Manning Computer Science Department / /

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queen / king / Model / model for learning word vectors / CRFjoin model / wb / Model Analysis / NER model / but with no word vector features / /

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Pentax K-x Digital Camera / BIO2 / C-7020 / word2vec tool / MUC7 / word2vec / /

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Stanford University / /

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neural network / http / /

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