Pre-trained language model with feature reduction and no fine-tuning
Pre-trained language models were proven to achieve excellent results in Natural Language Processing tasks such as Sentiment Analysis. However, the number of sentence embeddings from the base model of Bidirectional Encoder from Transformer (BERT) is 768 for a sentence, and there will be more than mil...
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| Main Authors: | , |
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| Format: | Book Section |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/100760/ http://dx.doi.org/10.1007/978-981-19-3923-5_59 |
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