Prompt-Based Word-Level Information Injection BERT for Chinese Named Entity Recognition

Prompt-Based Word-Level Information Injection BERT for Chinese Named Entity Recognition

Named entity recognition (NER) is a subfield of natural language processing (NLP) that identifies and classifies entities from plain text, such as people, organizations, locations, and other types. NER is a fundamental task in information extraction, information retrieval, and text summarization, as...

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Bibliographic Details
Main Authors: Qiang He, Guowei Chen, Wenchao Song, Pengzhou Zhang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
named entity recognition
prompt learning
pre-trained language model
BERT adapter
Online Access:https://www.mdpi.com/2076-3417/13/5/3331

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