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Research on Named Entity Recognition of Electronic Medical Records Based on RoBERTa and Radical‐Level Feature
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11036-019-01246-2openalex-snapshot
An Approach to Alleviate the Sparsity Problem of Hybrid Collaborative Filtering Based Recommendations: The Product-Attribute Perspective from User Reviews
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Pre-trained models for natural language processing: A survey
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Automatically extracting cancer disease characteristics from pathology reports into a Disease Knowledge Representation Model
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Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition
inferredcites →https://doi.org/10.1016/j.jbi.2019.103289openalex-snapshot
Chinese clinical named entity recognition with radical-level feature and self-attention mechanism
inferredcites →https://doi.org/10.1016/j.jbi.2020.103422openalex-snapshot
Chinese clinical named entity recognition with variant neural structures based on BERT methods
inferredcites →https://doi.org/10.1016/j.neunet.2005.06.042openalex-snapshot
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
inferredcites →https://doi.org/10.1109/access.2019.2935223openalex-snapshot
An Attention-Based BiLSTM-CRF Model for Chinese Clinic Named Entity Recognition
inferredcites →https://doi.org/10.1109/bibm.2018.8621360openalex-snapshot
Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions
inferredcites →https://doi.org/10.1109/cisp-bmei48845.2019.8965823openalex-snapshot
Named Entity Recognition Using BERT BiLSTM CRF for Chinese Electronic Health Records
inferredcites →https://doi.org/10.1109/tccn.2020.3027681openalex-snapshot
QoS Prediction for Service Recommendation With Features Learning in Mobile Edge Computing Environment
inferredcites →https://doi.org/10.1109/tii.2020.3039500openalex-snapshot
Personalized APIs Recommendation With Cognitive Knowledge Mining for Industrial Systems
inferredcites →https://doi.org/10.1109/tnb.2019.2908678openalex-snapshot
Chinese Clinical Named Entity Recognition Using Residual Dilated Convolutional Neural Network With Conditional Random Field
inferredcites →https://doi.org/10.1186/1472-6947-15-s1-s9openalex-snapshot
Developing a hybrid dictionary-based bio-entity recognition technique
inferredcites →https://doi.org/10.1186/s12911-017-0468-7openalex-snapshot
Entity recognition from clinical texts via recurrent neural network
inferredcites →https://doi.org/10.14569/ijacsa.2017.081220openalex-snapshot
Bio-NER: Biomedical Named Entity Recognition using Rule-Based and Statistical Learners
inferredcites →https://doi.org/10.18653/v1/p16-1105openalex-snapshot
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
inferredcites →https://doi.org/10.18653/v1/p17-1161openalex-snapshot
Semi-supervised sequence tagging with bidirectional language models
inferredcites →https://doi.org/10.3115/1572306.1572326openalex-snapshot
Conditional random fields and support vector machines for disorder named entity recognition in clinical texts
inferredcites →https://doi.org/10.3115/v1/p15-2098openalex-snapshot
Radical Embedding: Delving Deeper to Chinese Radicals
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Named entity recognition method of turbine generator set fault based on MHSA and RoBERTa-BiLSTM-CRF
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A method of named entity recognition in traditional Chinese medical cases by integrating BERT and BiLSTM
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Enhanced DNMF-Graph Integrated Multilevel Semantic Factorization for Contextual Named Entity Recognition
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When finance meets artificial intelligence: transforming financial text named entity recognition with the incorporation of hybrid embeddings
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Chinese Medical Named Entity Recognition Based on Fusion of Global Features and Multi-Local Features
inferred← citeshttps://doi.org/10.1109/access.2024.3377232openalex-snapshot
Transformer-Based Named Entity Recognition in Construction Supply Chain Risk Management in Australia
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DP-FWCA: A Prompt-Enhanced Model for Named Entity Recognition in Educational Domains
inferred← citeshttps://doi.org/10.1109/bibm55620.2022.9995105openalex-snapshot
TsERL: Two-stage Enhancement of Radical and Lexicon for Chinese Medical Named Entity Recognition
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A Chinese Medical Question-Answering Method Integrating Semantic Parsing and Knowledge Graph Reasoning
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Semantic Enhanced Relational Graph Attention Network for Chinese Medical Named Entity Recognition
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Biomedical Named Entity Recognition Based on MCBERT
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Named Entity Recognition Based on Pre-training Model and Multi-head Attention Mechanism
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Recent Progress on Named Entity Recognition Based on Pre-trained Language Models
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An Entity Enhancement-Based Approach for Joint Extraction of Entity Relationships in Medical Texts
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AI-Powered Recruitment Marketing Enhancing Candidate Experience and Employer Branding
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A Method of Network Attack Named Entity Recognition based on Deep Active Learning
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KrNER: A Novel Named Entity Recognition Method Based on Knowledge Enhancement and Remote Supervision
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NER Based on Dependency Structure Feature Fusion
inferred← citeshttps://doi.org/10.1177/18724981241297458openalex-snapshot
Chinese named entity recognition based on feature fusion
inferred← citeshttps://doi.org/10.1186/s12911-023-02243-yopenalex-snapshot
Chinese medical entity recognition based on the dual-branch TENER model
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Construction of a knowledge graph for breast cancer diagnosis based on Chinese electronic medical records: development and usability study
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Medical Name Entity Recognition Based on Lexical Enhancement and Global Pointer
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Task-Specific Transformer-Based Language Models in Health Care: Scoping Review
inferred← citeshttps://doi.org/10.32604/cmc.2024.047321openalex-snapshot
RoBGP: A Chinese Nested Biomedical Named Entity Recognition Model Based on RoBERTa and Global Pointer
inferred← citeshttps://doi.org/10.3389/frai.2025.1634774openalex-snapshot
Named entity recognition for Chinese electronic medical records by integrating knowledge graph and ClinicalBERT
inferred← citeshttps://doi.org/10.3390/app122010655openalex-snapshot
MDA: An Intelligent Medical Data Augmentation Scheme Based on Medical Knowledge Graph for Chinese Medical Tasks
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Enhancement of Question Answering System Accuracy via Transfer Learning and BERT
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Named Entity Recognition in Power Marketing Domain Based on Whole Word Masking and Dual Feature Extraction
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Fusion of SoftLexicon and RoBERTa for Purpose-Driven Electronic Medical Record Named Entity Recognition
inferred← citeshttps://doi.org/10.3390/app14135743openalex-snapshot
Named Entity Recognition for Chinese Texts on Marine Coral Reef Ecosystems Based on the BERT-BiGRU-Att-CRF Model
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MedNER: A Service-Oriented Framework for Chinese Medical Named-Entity Recognition with Real-World Application
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An RG-FLAT-CRF Model for Named Entity Recognition of Chinese Electronic Clinical Records
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DdERT: Research on Named Entity Recognition for Mine Hoist Using a Chinese BERT Model
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MP-CNER: A Course Named Entity Recognition Model Based on Multi-Dimensional Position Features
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Mapping the Advanced-Stage Epithelial Ovarian Cancer Landscape Goes Beyond Words: Two Large Language Models, Eight Tasks, One Journey
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Leveraging Part-of-Speech Tagging Features and a Novel Regularization Strategy for Chinese Medical Named Entity Recognition
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