A lightweight neural attentionbased model for service chatbots
The growing demand for efficient service chatbots has led to the development of various deep learning techniques, such as generative neural attention-based mechanisms. However, existing attention processes often face challenges in generating contextually relevant responses. This study introduces a l...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
Springer Nature
2025
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/49542/1/s41598-025-14215-5.pdf http://ir.unimas.my/id/eprint/49542/ https://www.nature.com/articles/s41598-025-14215-5#Sec2 https://doi.org/10.1038/s41598-025-14215-5 |
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