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Word and sentence embeddings are useful feature representations in natural language processing.
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A word at a time: Computing word relatedness using temporal semantic analysis
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Large-scale learning of word relatedness with constraints
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SemEval-2014 task 10: Multilingual semantic textual similarity
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SemEval-2015 task 2: Semantic textual similarity, English, Spanish and pilot on interpretability
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All-but-the-top: Simple and effective postprocessing for word representations
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Concatenated power mean word embeddings as universal cross-lingual sentence representations
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GLUE: A multi-task benchmark and analysis platform for natural language understanding
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Felix Hill, Roi Reichart, and Anna Korhonen. 2015 · 2015
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Skip-thought vectors
Ryan Kiros, Yukun Zhu, Russ R Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2015
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John Wieting, Mohit Bansal, Kevin Gimpel, and Karen Livescu. 2015 · 2015
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Eneko Agirre, Carmen Banea, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Rada Mihalcea, German Rigau, and Janyce Wiebe. 2016 · 2016
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Problems with evaluation of word embeddings using word similarity tasks
Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, and Chris Dyer. 2016 · 2016
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BERT: Pre-training of deep bidirectional transformers for language understanding
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Pitfalls in the evaluation of sentence embeddings
Steffen Eger, Andreas Rücklé, and Iryna Gurevych. 2019 · 2019
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Continual learning for sentence representations using conceptors
Tianlin Liu, Lyle Ungar, and João Sedoc. 2019a · 2019
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Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Post-processing of word representations via variance normalization and dynamic embedding
Bin Wang, Fenxiao Chen, Angela Wang, and C.-C. Jay Kuo. 2019a · 2019
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Correlation coefficients and semantic textual similarity
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Semantic re-tuning with contrastive tension
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On the sentence embeddings from pre-trained language models
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RoBERTa: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
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SBERT-WK: A sentence embedding method by dissecting BERT-based word models
Bin Wang and C.-C. Jay Kuo. 2020 · 2020
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Understanding contrastive representation learning through alignment and uniformity on the hypersphere
Tongzhou Wang and Phillip Isola. 2020 · 2020
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An unsupervised sentence embedding method by mutual information maximization
Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, and Lidong Bing. 2020 · 2020
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Sentence analogies: Linguistic regularities in sentence embeddings
Xunjie Zhu and Gerard de Melo. 2020 · 2020
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What makes sentences semantically related: A textual relatedness dataset and empirical study
Mohamed Abdalla, Krishnapriya Vishnubhotla, and Saif M Mohammad. 2021 · 2021
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SimCSE: Simple contrastive learning of sentence embeddings
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Whitening sentence representations for better semantics and faster retrieval
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TSDAE: Using transformer-based sequential denoising auto-encoderfor unsupervised sentence embedding learning
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ConSERT: A contrastive framework for self-supervised sentence representation transfer
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