ABioNER: A BERT-Based Model for Arabic Biomedical Named-Entity Recognition
The web is being loaded daily with a huge volume of data, mainly unstructured textual data, which increases the need for information extraction and NLP systems significantly. Named-entity recognition task is a key step towards efficiently understanding text data and saving time and effort. Being a w...
Saved in:
Main Authors: | Nada Boudjellal, Huaping Zhang, Asif Khan, Arshad Ahmad, Rashid Naseem, Jianyun Shang, Lin Dai |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/6633213 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Election Prediction on Twitter: A Systematic Mapping Study
by: Asif Khan, et al.
Published: (2021-01-01) -
A Kernel-Based Approach for Biomedical Named Entity Recognition
by: Rakesh Patra, et al.
Published: (2013-01-01) -
Named Entity Recognition in Bengali
by: Asif Ekbal, et al.
Published: (2010-02-01) -
Plant Abio-Stress and Bioresources Utilization for Sustainable Development
by: Hong-bo Shao, et al.
Published: (2014-01-01) -
Building Arabic Speech Recognition System Using HuBERT Model and Studying the Sources of Errors [Arabic]
by: Rima Sbih, et al.
Published: (2025-01-01)