Efficient Estimation of Word Representations in vector space 論文閱讀
Efficient Estimation of Word Representations in vector space Tomas Mikolov、Kai Chen、Greg Corrado、Jeffrey Dean 一、研究對象：詞向量表示的質量。 二、現有模型：NNLM、N-gram model、LSA、LDA等 三、現有模型不足：將單詞做爲一個獨立的單元對待，與
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相關文章
- 1. (30)[ICLR13] Efficient Estimation of Word Representations in Vector Space
- 2. Efficient Estimation of Word Representations in Vector Space
- 3. 1.Efficient Estimation of Word Representations in Vector Space
- 4. 讀論文《Efficient Estimation of Word Representations in Vector Space》
- 5. Efficient Estimation of Word Representations in Vector Space (2013)論文要點
- 6. NLP系列：Word2Vec原始論文：Efficient Estimation of Word Representations in Vector Space
- 7. 讀word2vec經典論文《Efficient Estimation of Word Representations in Vector Space》讀書筆記
- 8. 論文閱讀：DeepWalk Online Learning of Social Representations
- 9. 【讀論文】Hash Embeddings for Efficient Word Representations
- 10. 《Deep contextualized word representations》論文閱讀