Statistical Semantic入門 ~分布仮説からword2vecまで~

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Statistical Semantic入門 ~分布仮説からword2vecまで~

1. The document discusses various statistical and neural network-based models for representing wo... 1. The document discusses various statistical and neural network-based models for representing words and modeling semantics, including LSI, PLSI, LDA, word2vec, and neural network language models. 2. These models represent words based on their distributional properties and contexts using techniques like matrix factorization, probabilistic modeling, and neural networks to learn vector representatio

moguno めんふぃむ wrote: Statistical Semantic入門 ~分布仮説からword2vecまで~ by @unnonouno http://t.co/lnAjjbJeXY @SlideShareさんから

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2014/12/25 リンク

kasumani Statistical Semantic入門 ~分布仮説からword2vecまで~ Presentation Transcript 2014/02/06 PFI Statistical Semantic ~ word2vec Preferred Infrastructure (@unnonouno) ~ (@unnonouno) !  !  !  !  !  IBM PFI Semantics [Bird+10] 10 10.1 10.2 10.3 10.4 10.5 10.6 10.7 10.8 [ +96] 5. 5.1 5.2

2014/02/06 リンク