Work

A Comparative Study of Cross-Sentence Features for Named Entity Recognition

Year: 2023

Type: conference-paper

Source: International Conference on Innovations and Development of Information Technologies and Robotics (IDITR)

DOI: 10.1109/iditr57726.2023.10145820

Authors: Sheng-Fu Wang, Jing Huang, Baohua Zhang, Jia Li

Institutions: Beijing Institute of Technology, Industrial and Commercial Bank of China

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4379983598

FWCI: 0.177

Cites: 15

Cited by: 1

Related to: 10