Work

SESG-Optimizing Information Extraction in Chinese Clinical Texts: An Innovative Named Entity Recognition Approach Using RoBERTa-BiLSTM-CRF Mechanism

Year: 2024

Type: article

Source: Journal of Information & Knowledge Management

DOI: 10.1142/s0219649224500904

Authors: Bin Li, Haitao Cheng, Mengfei Lin

Institutions: Zhuhai City Polytechnic, Guangzhou Huashang College, Guangzhou Huashang Vocational College

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Guangdong Office of Philosophy and Social Science

Awards: G1866459483, G8513955482

OpenAlex ID: W4402748885

FWCI: 0.912

Cites: 18

Cited by: 6

Related to: 10