Exploring the effects of drug, disease, and protein dependencies on biomedical named entity recognition: A comparative analysis
Background: Biomedical named entity recognition is one of the important tasks of biomedical literature mining. With the development of natural language processing technology, many deep learning models are used to extract valuable information from the biomedical literature, which promotes the develop...
Main Authors: | Peifu Han, Xue Li, Xun Wang, Shuang Wang, Changnan Gao, Wenqi Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-12-01
|
Series: | Frontiers in Pharmacology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2022.1020759/full |
Similar Items
-
Named Entity Extraction for Knowledge Graphs: A Literature Overview
by: Tareq Al-Moslmi, et al.
Published: (2020-01-01) -
A Boundary Assembling Method for Nested Biomedical Named Entity Recognition
by: Yanping Chen, et al.
Published: (2020-01-01) -
EXTENDED DISTRIBUTED PROTOTYPICAL FOR BIOMEDICAL NAMED ENTITY RECOGNITION
by: Maan Tareq Abd, et al.
Published: (2017-12-01) -
MALAY NAMED ENTITY RECOGNITION USING RULE BASED APPROACH
by: Ulfa Nadia, et al.
Published: (2019-06-01) -
Incorporating Entity Type-Aware and Word–Word Relation-Aware Attention in Generative Named Entity Recognition
by: Ying Mo, et al.
Published: (2024-04-01)