Improving biomedical named entity recognition with syntactic information
Background Biomedical named entity recognition (BioNER) is an important task for
understanding biomedical texts, which can be challenging due to the lack of large-scale …
understanding biomedical texts, which can be challenging due to the lack of large-scale …
Biomedical named entity recognition with the combined feature attention and fully-shared multi-task learning
Z Zhang, ALP Chen - BMC bioinformatics, 2022 - Springer
Background Biomedical named entity recognition (BioNER) is a basic and important task for
biomedical text mining with the purpose of automatically recognizing and classifying …
biomedical text mining with the purpose of automatically recognizing and classifying …
Bioalbert: A simple and effective pre-trained language model for biomedical named entity recognition
In recent years, with the growing amount of biomedical documents, coupled with
advancement in natural language processing algorithms, the research on biomedical …
advancement in natural language processing algorithms, the research on biomedical …
AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning
Motivation Biomedical named entity recognition (BioNER) seeks to automatically recognize
biomedical entities in natural language text, serving as a necessary foundation for …
biomedical entities in natural language text, serving as a necessary foundation for …
Effective use of bidirectional language modeling for transfer learning in biomedical named entity recognition
Biomedical named entity recognition (NER) is a fundamental task in text mining of medical
documents and has many applications. Deep learning based approaches to this task have …
documents and has many applications. Deep learning based approaches to this task have …
D3NER: biomedical named entity recognition using CRF-biLSTM improved with fine-tuned embeddings of various linguistic information
Motivation Recognition of biomedical named entities in the textual literature is a highly
challenging research topic with great interest, playing as the prerequisite for extracting huge …
challenging research topic with great interest, playing as the prerequisite for extracting huge …
Towards reliable named entity recognition in the biomedical domain
Motivation Automatic biomedical named entity recognition (BioNER) is a key task in
biomedical information extraction. For some time, state-of-the-art BioNER has been …
biomedical information extraction. For some time, state-of-the-art BioNER has been …
GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text
Motivation Best performing named entity recognition (NER) methods for biomedical literature
are based on hand-crafted features or task-specific rules, which are costly to produce and …
are based on hand-crafted features or task-specific rules, which are costly to produce and …
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 …
literature mining. With the development of natural language processing technology, many …
Cross-type biomedical named entity recognition with deep multi-task learning
Motivation State-of-the-art biomedical named entity recognition (BioNER) systems often
require handcrafted features specific to each entity type, such as genes, chemicals and …
require handcrafted features specific to each entity type, such as genes, chemicals and …