Methods: Our paper explores the field of Biomedical Named Entity Recognition (BioNER) by closely analysing two advanced models, SciSpaCy and BioBERT. We have made two distinct contributions: Initially, we thoroughly train these models using a wide range of biological datasets, allowing for a ...
Biomedical named entity recognition (BNER), which extracts important named entities such as genes and proteins, is a challenging task in automated systems that mine knowledge in biomedical texts. The previous state-of-the-art systems required large amounts of task-specific knowledge in the form of...
Biomedical Named Entity Recognition, Whatizit [A].// Dubitzky W, Wolkenhauer O, Yokota H, et al. Encyclopedia of Systems Biology [M]. New York: Springer, 2013: 132-134.Dietrich R S. Biomedical Named Entity Recognition, Whatizit [A].//Dubitzky W, Wolkenhauer O, Yokota H, et al...
Guan and Zhou BMC Bioinformatics (2023) 24:42 https://doi.org/10.1186/s12859-023-05172-9 BMC Bioinformatics RESEARCH Open Access A prefix and attention map discrimination fusion guided attention for biomedical named entity recognition Zhengyi Guan and Xiaobing Zhou* *...
Fig. 1: Named Entity Recognition Ontology (NERO). The Ontology is shown here as a multifurcating tree, with taxonomy nodes corresponding to ontology classes. Class name and class mentions count in the corpus are shown in parentheses next to each named entity class. Each taxonomy class is prov...
Biomedical text mining is a technique that extracts essential information from scientific articles using named entity recognition (NER). Traditional NER methods rely on dictionaries, rules, or curated corpora, which may not always be accessible. To overc
Two-phase biomedical named entity recognition using a hybrid method; pp. 646–657.Kim, S., Yoon, J., Park, K.-M., Rim, H.-C.: Two-phase biomedical named entity recognition using a hybrid method. In: Proceedings of the 2nd International Joint Conference (IJCNLP), pp. 646-657 (2005...
Biomedical text mining is a technique that extracts essential information from scientific articles using named entity recognition (NER). Traditional NER methods rely on dictionaries, rules, or curated corpora, which may not always be accessible. To overc
Biomedical Named Entity (NE) recognition is a core technique for various works in the biomedical domain. In previous studies, using machine learning algorithm shows better performance than dictionary-based and rule-based approaches because there are too many terminological variations of biomedical NEs ...
Recognizing the biomedical named entity has become one of the most fundamental tasks in the biomedical knowledge discovery.A multi-Agent meta-learning framework is presented which incorporates multi-agent system and meta-learning method for the application of biomedical named entity recognition.In the ba...