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1
An Extensive Study on Pretrained Models for Natural Languag..:
, In:
2022 International Conference on Electronics and Renewable Systems (ICEARS)
,
Ramprasath, M.
;
Dhanasekaran, K.
;
Karthick, T.
.. - p. 382-389 , 2022
Link:
https://doi.org/10.1109/ICEARS53579.2022.9752241
RT T1 <cTitle>2022 International Conference on Electronics and Renewable Systems (ICEARS)</cTitle>: T1 <Title>An Extensive Study on Pretrained Models for Natural Language Processing Based on Transformers</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9752241&Exemplar=1&LAN=DE A1 Ramprasath, M. A1 Dhanasekaran, K. A1 Karthick, T. A1 Velumani, R. A1 Sudhakaran, P. YR 2022 K1 Solid modeling K1 Renewable energy sources K1 Transfer learning K1 Bit error rate K1 Linguistics K1 Transformers K1 Solids K1 Natural Language Processing K1 Language Modeling K1 Natural Language Process K1 Pretraining Language Models Transformers -Natural Language Processing (PLMT-NLP) SP 382 OP 389 LK http://dx.doi.org/https://doi.org/10.1109/ICEARS53579.2022.9752241 DO https://doi.org/10.1109/ICEARS53579.2022.9752241 SF ELIB - SuUB Bremen
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