Named Entity Recognition in Power Marketing Domain Based on Whole Word Masking and Dual Feature Extraction

Named Entity Recognition in Power Marketing Domain Based on Whole Word Masking and Dual Feature Extraction

With the aim of solving the current problems of low utilization of entity features, multiple meanings of a word, and poor recognition of specialized terms in the Chinese power marketing domain named entity recognition (PMDNER), this study proposes a Chinese power marketing named entity recognition m...

Full description

Bibliographic Details
Main Authors: Yan Chen, Zengfu Liang, Zhixiang Tan, Dezhao Lin
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
power marketing
named entity recognition
RoBERTa
dual feature extraction
attention mechanism
Online Access:https://www.mdpi.com/2076-3417/13/16/9338

Internet

https://www.mdpi.com/2076-3417/13/16/9338

Similar Items