Which *BERT? A Survey Organizing Contextualized Encoders
October 02, 2020 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
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Authors
Patrick Xia, Shijie Wu, Benjamin Van Durme
arXiv ID
2010.00854
Category
cs.CL: Computation & Language
Cross-listed
cs.LG
Citations
53
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
4 months ago
Abstract
Pretrained contextualized text encoders are now a staple of the NLP community. We present a survey on language representation learning with the aim of consolidating a series of shared lessons learned across a variety of recent efforts. While significant advancements continue at a rapid pace, we find that enough has now been discovered, in different directions, that we can begin to organize advances according to common themes. Through this organization, we highlight important considerations when interpreting recent contributions and choosing which model to use.
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