NLP論文 -《Distributed Representations of Sentences and Documents》-句子和文檔的分佈式表示學習（一）
Distributed Representations of Sentences and Documents（句子和文檔的分佈式表示學習） 作者：Quoc Le and Tomas Mikolov 單位：Google 發佈會議及時間：ICML 2014 第一課時：論文導讀 1、句子分佈式表示簡介 句子分佈式表示：句子的分佈式表示就是將一個話或者一段話（這裏將句子和文檔同等看待，文檔相當於較長的句子
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相關文章
- 1. NLP論文 -《Distributed Representations of Sentences and Documents》-句子和文檔的分佈式表示學習（二）
- 2. NLP-文獻-Distributed Representations of Sentences and Documents
- 3. Distributed Representations of Sentences and Documents
- 4. 論文記錄筆記NLP(九)：Distributed Representations of Sentences and Documents
- 5. Distributed Representations of Sentences and Documents閱讀筆記
- 6. Distributed Representations of Sentences and Documents筆記
- 7. 論文記錄筆記NLP(二)：句子和文檔的分佈式表示
- 8. 文本相似度：Distributed Representations of Sentences and Documents
- 9. Learning Distributed Representations of Sentences from...
- 10. Paragraph2vec(段向量）-------基於《Distributed Representations of Sentences and Documents》