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Which *BERT? A Survey Organizing Contextualized Encoders

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arxiv 2010.00854 v1 pith:OGSNFXSM submitted 2020-10-02 cs.CL cs.LG

classification cs.CLcs.LG
keywords contextualizedencodersrecentsurveyaccordingacrossadvancementsadvances
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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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