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Unsupervised sentence embedding aims to obtain the most appropriate embedding for a sentence to reflect its semantic.
Semeval-2012 task 6: A pilot on semantic textual similarity
Eneko Agirre, Daniel M. Cer, Mona T. Diab, and Aitor Gonzalez Agirre · 2012
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*sem 2013 shared task: Semantic textual similarity
Eneko Agirre, Daniel M. Cer, Mona T. Diab, Aitor Gonzalez Agirre, and Weiwei Guo · 2013
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Semeval-2014 task 10: Multilingual semantic textual similarity
Eneko Agirre, Carmen Banea, Claire Cardie, Daniel M. Cer, Mona T. Diab, Aitor Gonzalez Agirre, Weiwei Guo, Rada Mihalcea, German Rigau, and Janyce Wiebe · 2014
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A sick cure for the evaluation of compositional distributional semantic models
Marco Marelli, Stefano Menini, Marco Baroni, Luisa Bentivogli, Raffaella Bernardi, and Roberto Zamparelli · 2014
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Semeval-2015 task 2: Semantic textual similarity, english, spanish and pilot on interpretability
Eneko Agirre, Carmen Banea, Claire Cardie, Daniel M. Cer, Mona T. Diab, Aitor Gonzalez Agirre, Weiwei Guo, Inigo Lopez Gazpio, Montse Maritxalar, Rada Mihalcea, German Rigau, Larraitz Uria, and Janyce Wiebe · 2015
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Semeval-2016 task 1: Semantic textual similarity, monolingual and cross-lingual evaluation
Eneko Agirre, Carmen Banea, Daniel M. Cer, Mona T. Diab, Aitor Gonzalez-Agirre, Rada Mihalcea, German Rigau, and Janyce Wiebe · 2016
Earlier work this paper cites.
Semeval-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation
Daniel M. Cer, Mona T. Diab, Eneko Agirre, Inigo Lopez-Gazpio, and Lucia Specia · 2017
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Representation learning with contrastive predictive coding
Aaron Van Den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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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 · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych · 2019
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton · 2020
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Improved baselines with momentum contrastive learning
Xinlei Chen, Haoqi Fan, Ross B. Girshick, and Kaiming He · 2020
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Prompt-learning for fine-grained entity typing
Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Pengjun Xie, Hai Tao Zheng, Zhiyuan Liu, Juanzi Li, and Hong Gee Kim · 2021
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Simcse: Simple contrastive learning of sentence embeddings
Tianyu Gao, Xingcheng Yao, and Danqi Chen · 2021
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Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig · 2021
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Can contrastive learning avoid shortcut solutions?
Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, and Suvrit Sra · 2021
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Whitening sentence representations for better semantics and faster retrieval
Jianlin Su, Jiarun Cao, Weijie Liu, and Yangyiwen Ou · 2021
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Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross B. Girshick · 2020
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On the sentence embeddings from pre-trained language models
Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, and Lei Li · 2020
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Intriguing properties of contrastive losses
Ting Chen, Calvin Luo, and Lala Li · 2021
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Esimcse: Enhanced sample building method for contrastive learning of unsupervised sentence embedding
Xing Wu, Chaochen Gao, Liangjun Zang, Jizhong Han, Zhongyuan Wang, and Songlin Hu · 2021
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Consert: A contrastive framework for self-supervised sentence representation transfer
Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, and Weiran Xu · 2021
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Cpt: Colorful prompt tuning for pre-trained vision-language models
Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat Seng Chua, and Maosong Sun · 2021
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