A simple but tough-to-beat baseline for sentence embedding
论文原文：A simple but tough-to-beat baseline for sentence embedding 引言 在神经网络泛滥的时候，这篇文章像一股清流，提出了一个无监督的句子建模方法，并且给出了该方法的一些理论解释。通过该方法得到的句子向量，在STS数据集上取得了不输给神经网络的效果。 句子建模算法 作者将该算法称之为WR。 W表示Weighted，意为使用预估计的参数给句
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相关文章
- 1. 论文A simple but tough-to-beat baseline for sentence embedding
- 2. [NLP论文阅读]A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDINGS
- 3. 论文阅读：《a simple but tough-to-beat baseline for sentence embeddings》
- 4. A Simple but Tough-to-Beat Baseline for Sentence Embeddings阅读笔记
- 5. 论文阅读 A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SEN- TENCE EMBEDDINGS
- 6. Sentence Embedding
- 7. Simple Baseline for Multi-Object Tracking
- 8. A Simple but Effective Classification Model for Grammatical Error Correction
- 9. [ICLR2017]A Structured Self-attentive Sentence Embedding
- 10. #Paper Reading# A Neural Attention Model for Abstractive Sentence Summarization