Experimental Comparison of Transformers and Reformers for Text Classification
In this paper, we present experimental analysis of Transformers and Reformers for text classification applications in natural language processing. Transformers and Reformers yield the state-of-the-art performance and use attention scores for capturing the relationships between words in the sentences...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IFSA Publishing, S.L.
2021-02-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | https://sensorsportal.com/HTML/DIGEST/february_2021/Vol_249/P_3212.pdf |