[NLP论文阅读] Supervised Learning of Universal Sentence Representations from NLI data

时间 2020-12-25

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论文原文：Supervised Learning of Universal Sentence Representations from Natural Language Inference Data Github：facebookresearch/InferSent 引言这篇文章感觉上我上一篇博客中阅读的论文在想法上有相似的地方，想法都是你要达到目标，你必须先会点别的。不同的是，之前那篇是你要会

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1. 【论文阅读笔记】Supervised Learning of Universal Sentence Representations from Natural Language Inference Da
2. 论文阅读：DeepWalk Online Learning of Social Representations
3. Learning Distributed Representations of Sentences from...
4. 论文阅读：AutoAugment: Learning Augmentation Strategies from Data
5. 论文阅读：Dual Supervised Learning
6. [NLP论文阅读]Siamese CBOW: OptimizingWord Embeddings for Sentence Representations
7. 【论文阅读】Distributed Representation of Sentence and Document
8. [NLP论文阅读] Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning
9. 【论文阅读】Universal Domain Adaptation
10. 论文阅读Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

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