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 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

[mzi]

よくまとまってる

[fcicq]

have read

[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

[rishida]

テキストの表現方法まとめ

[somemo]

見れなくなってる？[word2vec]

[lanius]

分布仮説、統計的意味論。

[tksakaki]

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[Kesin]

統計的な単語の意味について。言語モデル系、行列分解系、NN系、word2vecの紹介

[peketamin]

導入から既に面白かったです…。

[TOKOROTEN]

すげえええ

[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

[todesking]

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