Distributed Representations of Sentences and Documents
继分享了一系列词向量相关的paper之后，今天分享一篇句子向量的文章，Distributed Representations of Sentences and Documents，作者是来自Google的Quoc Le和Tomas Mikolov，后者也是Word2Vec的作者。 用低维向量表示了word之后，接下来要挑战地就是表示句子和段落了。传统的表示句子的方式是用词袋模型，每个句子都可以写成
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相关文章
- 1. Distributed Representations of Sentences and Documents阅读笔记
- 2. Distributed Representations of Sentences and Documents笔记
- 3. NLP-文献-Distributed Representations of Sentences and Documents
- 4. 论文记录笔记NLP(九)：Distributed Representations of Sentences and Documents
- 5. Paragraph2vec(段向量）-------基于《Distributed Representations of Sentences and Documents》
- 6. 文本相似度：Distributed Representations of Sentences and Documents
- 7. Learning Distributed Representations of Sentences from...
- 8. Distributed Representations of Words and Phrases and their Compositionality
- 9. NLP论文 -《Distributed Representations of Sentences and Documents》-句子和文档的分布式表示学习（二）
- 10. NLP论文 -《Distributed Representations of Sentences and Documents》-句子和文档的分布式表示学习（一）