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20182021
most citedFew-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data

2 citations · 2 across the 5 of their papers we have counts for

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Showing 2020 · cs.CLShow all

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cs.CL2020

Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA

Nina Poerner, Ulli Waltinger, Hinrich Schütze

Domain adaptation of Pretrained Language Models (PTLMs) is typically achieved by unsupervised pretraining on target-domain text. While successful, this approach is expensive in ter…