Research on the Lightweight of Natural Language Understanding Model in Electric Power Field

Research on the Lightweight of Natural Language Understanding Model in Electric Power Field

To address the application requirements of indicator question-and-answer (Q&A) in the electricity industry, this paper researches a natural language understanding model for balancing performance, computing resource consumption, and inference time, and proposes a method to incorporate an early st...

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Bibliographic Details
Main Authors: DONG Zengbo, XU Shiyu, CHEN Xi, XU Bo, XIN Rui, ZHANG Pengfei, SONG Hui
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2024-12-01
Series:Journal of Harbin University of Science and Technology
Subjects:
electricity domain
natural language understanding model
lightweight model
knowledge distillation
early stopping mechanism
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2391
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