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We present EASE, a novel method for learning sentence embeddings via contrastive learning between sentences and their related entities.
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Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
Algorithms for the assignment and transportation problems
James R. Munkres. 1957 · 1957
Earlier work this paper cites.
Machine-made index for technical literature: An experiment
P. B. Baxendale. 1958 · 1958
Earlier work this paper cites.
Some methods for classification and analysis of multivariate observations
J. B. MacQueen. 1967 · 1967
Earlier work this paper cites.
New methods in automatic extracting
H. P. Edmundson. 1969 · 1969
Earlier work this paper cites.
Learning cross-context entity representations from text
Jeffrey Ling, Nicholas FitzGerald, Zifei Shan, Livio Baldini Soares, Thibault Févry, David Weiss, and Tom Kwiatkowski. 2020 · 2001
Earlier work this paper cites.
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Hongchao Fang, Sicheng Wang, Meng Zhou, Jiayuan Ding, and Pengtao Xie. 2020 · 2005
Earlier work this paper cites.
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Evgeniy Gabrilovich and Shaul Markovitch. 2006 · 2006
Earlier work this paper cites.
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R. Hadsell, S. Chopra, and Y. LeCun. 2006 · 2006
Earlier work this paper cites.
Language-agnostic bert sentence embedding
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Earlier work this paper cites.
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Evgeniy Gabrilovich and Shaul Markovitch. 2007 · 2007
Earlier work this paper cites.
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Eneko Agirre, Daniel Cer, Mona Diab, and Aitor Gonzalez-Agirre. 2012 · 2012
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Later among the works it cites.
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Wenhan Xiong, Jingfei Du, William Yang Wang, and Veselin Stoyanov. 2020 · 2020
Later among the works it cites.
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Ikuya Yamada, Akari Asai, Jin Sakuma, Hiroyuki Shindo, Hideaki Takeda, Yoshiyasu Takefuji, and Yuji Matsumoto. 2020 · 2020
Later among the works it cites.
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Iacer Calixto, Alessandro Raganato, and Tommaso Pasini. 2021 · 2021
Later among the works it cites.
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Fredrik Carlsson, Amaru Cuba Gyllensten, Evangelia Gogoulou, Erik Ylipää Hellqvist, and Magnus Sahlgren. 2021 · 2021
Later among the works it cites.
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