Sentence part-enhanced BERT with respect to downstream tasks
Abstract Bidirectional encoder representations from transformers (BERT) have achieved great success in many natural language processing tasks. However, BERT generally takes the embedding of the first token to represent sentence meaning in the tasks such as sentiment analysis and textual similarity,...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer
2022-07-01
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| Edice: | Complex & Intelligent Systems |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/s40747-022-00819-1 |
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