- 2017-11
- Le and Mikolov – 2014 – Distributed representations of sentences and documents [pdf] [pdf (annotated)] [note]
- 2018-12
- Li and Hovy – 2014 – A Model of Coherence Based on Distributed Sentence Representation [pdf] [pdf (annotated)] [note]
- Kiros et al. – 2015 – Skip-Thought Vectors [pdf] [pdf (annotated)] [note]
- Hill et al. – 2016 – Learning Distributed Representations of Sentences from Unlabelled Data [pdf] [pdf (annotated)] [note]
- Arora et al. – 2016 – A simple but tough-to-beat baseline for sentence embeddings [pdf] [pdf (annotated)] [note]
- Pagliardini et al. – 2017 – Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features (sent2vec) [pdf] [pdf (annotated)] [note]
- Logeswaran et al. – 2018 – An efficient framework for learning sentence representations (Quick-Thought Vectors) [pdf] [pdf (annotated)] [note]
- 2019-01
- Wieting et al. – 2015 – Towards universal paraphrastic sentence embeddings [pdf] [pdf (annotated)] [note]
- Adi et al. – 2016 – Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks [pdf] [pdf (annotated)] [note]
- Conneau et al. – 2017 – Supervised Learning of Universal Sentence Representations from Natural Language Inference Data (InferSent) [pdf] [pdf (annotated)] [note]
- Cer et al. – 2018 – Universal Sentence Encoder [pdf] [pdf (annotated)] [note]
- references
Text Classification
2017-09 Joulin et al. – 2016 – Bag of tricks for efficient text classification 2017-10 Kim – 2014 – Convolutional neural...
