NLP論文 -《Distributed Representations of Sentences and Documents》-句子和文檔的分佈式表示學習（二）
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 1、上節回顧 句向量表示概念 句向量表示就是將一句話表示成一個向量，向量帶有這句話的語義信息。當學到一個較好的句向量表示，可以將這個句向量表示用到
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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（一）
- 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. 論文記錄筆記NLP(二)：句子和文檔的分佈式表示
- 6. Distributed Representations of Sentences and Documents閱讀筆記
- 7. Distributed Representations of Sentences and Documents筆記
- 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》