A Kernel-Based Approach for Biomedical Named Entity Recognition [PDF]
The Scientific World Journal, 2013 Support vector machine (SVM) is one of the popular machine learning techniques used in various text processing tasks including named entity recognition (NER).
Rakesh Patra, Sujan Kumar Saha
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Spanish named entity recognition in the biomedical domain [PDF]
, 2018 Named Entity Recognition in the clinical domain and in languages different from English has the difficulty of the absence of complete dictionaries, the informality of texts, the polysemy of terms, the lack of accordance in the boundaries of an entity ...
Cotik, Viviana +2 more
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How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities? [PDF]
IEEE Access, 2022 The number of biomedical literature on new biomedical concepts is rapidly increasing, which necessitates a reliable biomedical named entity recognition (BioNER) model for identifying new and unseen entity mentions.
Hyunjae Kim, Jaewoo Kang
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Long short-term memory RNN for biomedical named entity recognition [PDF]
BMC Bioinformatics, 2017 Background Biomedical named entity recognition(BNER) is a crucial initial step of information extraction in biomedical domain. The task is typically modeled as a sequence labeling problem.
Chen Lyu +3 more
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Multitask learning for biomedical named entity recognition with cross-sharing structure [PDF]
BMC Bioinformatics, 2019 Background Biomedical named entity recognition (BioNER) is a fundamental and essential task for biomedical literature mining, which affects the performance of downstream tasks.
Xi Wang, Jiagao Lyu, Li Dong, Ke Xu
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Biomedical named entity recognition based on multi-cross attention feature fusion. [PDF]
PLoS ONECurrently, in the field of biomedical named entity recognition, CharCNN (Character-level Convolutional Neural Networks) or CharRNN (Character-level Recurrent Neural Network) is typically used independently to extract character features.
Dequan Zheng +3 more
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Knowledge-enhanced biomedical named entity recognition and normalization: application to proteins and genes [PDF]
BMC Bioinformatics, 2020 Background Automated biomedical named entity recognition and normalization serves as the basis for many downstream applications in information management. However, this task is challenging due to name variations and entity ambiguity.
Huiwei Zhou +5 more
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Named Entity Recognition System for the Biomedical Domain [PDF]
Annals of computer science and information systems, 2022 Les récents progrès de la science médicale ont entraîné une accélération considérable de la vitesse à laquelle de nouvelles informations sont publiées. La base de données MEDLINE augmente à 500 000 nouvelles citations chaque année. En raison de cette augmentation exponentielle, il n'est pas facile de suivre manuellement ce gonflement croissant de l ...
Raghav Sharma +2 more
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Improving the recall of biomedical named entity recognition with label re-correction and knowledge distillation [PDF]
BMC Bioinformatics, 2021 Background Biomedical named entity recognition is one of the most essential tasks in biomedical information extraction. Previous studies suffer from inadequate annotated datasets, especially the limited knowledge contained in them.
Huiwei Zhou +5 more
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BioByGANS: biomedical named entity recognition by fusing contextual and syntactic features through graph attention network in node classification framework [PDF]
BMC Bioinformatics, 2022 Background Automatic and accurate recognition of various biomedical named entities from literature is an important task of biomedical text mining, which is the foundation of extracting biomedical knowledge from unstructured texts into structured formats.
Xiangwen Zheng +5 more
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