[NLP論文閱讀]Siamese CBOW: OptimizingWord Embeddings for Sentence Representations
論文原文: Siamese CBOW: OptimizingWord Embeddings for Sentence Representations 引言 前段時間看了一篇Siamese LSTM（孿生LSTM）用於生產句子表示的論文，這次又看到了這一篇文章，感覺也很有意思，這篇文章是借鑑了CBOW模型的想法提出了Siamese CBOW模型，並且取得了不錯的效果。 主要內容 作者在文中提到，現在
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相關文章
- 1. Siamese CBOW: Optimizing Word Embeddings for Sentence Representations
- 2. 論文閱讀Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
- 3. 論文閱讀 | Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
- 4. [NLP論文閱讀]A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDINGS
- 5. [NLP論文閱讀] Supervised Learning of Universal Sentence Representations from NLI data
- 6. 【讀論文】Hash Embeddings for Efficient Word Representations
- 7. 論文閱讀：《a simple but tough-to-beat baseline for sentence embeddings》
- 8. [NLP論文閱讀] Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning
- 9. 論文閱讀：《Convolutional Neural Networks for Sentence Classification》
- 10. 【論文閱讀】Topical Word Embeddings