A lightweight neural attention-based 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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Bibliographic Details
Main Authors: Sinarwati, Mohamad Suhaili, Mohamad Nazim, Jambli
Format: Article
Language:en
Published: Springer Nature Limited 2025
Subjects:
Online Access:http://ir.unimas.my/id/eprint/49728/1/A%20lightweight%20neural%20attention-based%20model%20for%20service%20chatbots.pdf
http://ir.unimas.my/id/eprint/49728/
https://www.nature.com/articles/s41598-025-14215-5
https://doi.org/10.1038/s41598-025-14215-5
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