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Chinese Clinical Named Entity Recognition in Electronic Medical Records: Development of a Lattice Long Short-Term Memory Model With Contextualized Character Representations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/c2018-0-04781-7openalex-snapshot
Deep Learning Techniques for Biomedical and Health Informatics
inferredcites →https://doi.org/10.1016/j.acap.2011.02.007openalex-snapshot
Electronic Medical Records (EMRs), Epidemiology, and Epistemology: Reflections on EMRs and Future Pediatric Clinical Research
inferredcites →https://doi.org/10.1016/j.jbi.2009.08.007openalex-snapshot
What can natural language processing do for clinical decision support?
inferredcites →https://doi.org/10.1016/j.jbi.2017.11.007openalex-snapshot
Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition
inferredcites →https://doi.org/10.1016/j.jbi.2019.103133openalex-snapshot
Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition
inferredcites →https://doi.org/10.1016/j.jbi.2019.103290openalex-snapshot
Adversarial training based lattice LSTM for Chinese clinical named entity recognition
inferredcites →https://doi.org/10.1093/bioinformatics/btx228openalex-snapshot
Deep learning with word embeddings improves biomedical named entity recognition
inferredcites →https://doi.org/10.1093/jamia/ocw180openalex-snapshot
Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts
inferredcites →https://doi.org/10.1109/bibm.2015.7359756openalex-snapshot
Training word embeddings for deep learning in biomedical text mining tasks
inferredcites →https://doi.org/10.1136/amiajnl-2011-000203openalex-snapshot
2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
inferredcites →https://doi.org/10.1136/jamia.2009.001560openalex-snapshot
Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
inferredcites →https://doi.org/10.1142/9789814447331_0049openalex-snapshot
EDGAR: Extraction of Drugs, Genes And Relations from the Biomedical Literature
inferredcites →https://doi.org/10.1186/1472-6947-6-30openalex-snapshot
Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system
inferredcites →https://doi.org/10.18653/v1/d15-1104openalex-snapshot
Joint Entity Recognition and Disambiguation
inferredcites →https://doi.org/10.18653/v1/k16-1006openalex-snapshot
context2vec: Learning Generic Context Embedding with Bidirectional LSTM
inferredcites →https://doi.org/10.18653/v1/n16-1030openalex-snapshot
Neural Architectures for Named Entity Recognition
inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
Deep Contextualized Word Representations
inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
inferredcites →https://doi.org/10.18653/v1/p16-1101openalex-snapshot
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
inferredcites →https://doi.org/10.18653/v1/p17-1161openalex-snapshot
Semi-supervised sequence tagging with bidirectional language models
inferredcites →https://doi.org/10.2196/medinform.9965openalex-snapshot
Clinical Named Entity Recognition From Chinese Electronic Health Records via Machine Learning Methods
inferredcites →https://doi.org/10.3115/1073445.1073447openalex-snapshot
Japanese Named Entity extraction with redundant morphological analysis
inferredcites →https://doi.org/10.3115/1119176.1119206openalex-snapshot
Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons
inferredcites →https://doi.org/10.3115/1219840.1219885openalex-snapshot
Incorporating non-local information into information extraction systems by Gibbs sampling
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3390/e19060283openalex-snapshot
LSTM-CRF for Drug-Named Entity Recognition
inferredcites →https://doi.org/10.48550/arxiv.1103.0398openalex-snapshot
Natural Language Processing (almost) from Scratch
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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MRC-Based Medical NER with Multi-task Learning and Multi-strategies
inferred← citeshttps://doi.org/10.1007/978-981-96-9881-3_28openalex-snapshot
Chinese Medical Named Entity Recognition Enhanced by Large Language Model
inferred← citeshttps://doi.org/10.1007/978-981-97-5569-1_13openalex-snapshot
MGSD: Multi-Graph Joint Framework Based on Semantic Dependency for Chinese NER
inferred← citeshttps://doi.org/10.1007/s11042-023-16900-xopenalex-snapshot
Healthcare entity recognition based on deep learning
inferred← citeshttps://doi.org/10.1007/s12065-022-00727-wopenalex-snapshot
Named entity recognition (NER) for Chinese agricultural diseases and pests based on discourse topic and attention mechanism
inferred← citeshttps://doi.org/10.1007/s12539-024-00624-zopenalex-snapshot
MF-MNER: Multi-models Fusion for MNER in Chinese Clinical Electronic Medical Records
inferred← citeshttps://doi.org/10.1007/s12553-021-00607-wopenalex-snapshot
Data structuring of electronic health records: a systematic review
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110649openalex-snapshot
A Chinese medical named entity recognition method considering length diversity of entities
inferred← citeshttps://doi.org/10.1016/j.jbi.2021.103737openalex-snapshot
Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition
inferred← citeshttps://doi.org/10.1016/j.jbi.2022.104144openalex-snapshot
Multi-level semantic fusion network for Chinese medical named entity recognition
inferred← citeshttps://doi.org/10.1038/s41598-025-98465-3openalex-snapshot
Chinese medical named entity recognition integrating adversarial training and feature enhancement
inferred← citeshttps://doi.org/10.1055/a-2039-3773openalex-snapshot
An Alternative Application of Natural Language Processing to Express a Characteristic Feature of Diseases in Japanese Medical Records
inferred← citeshttps://doi.org/10.1080/09720529.2022.2068604openalex-snapshot
Construction of heterogeneous medical knowledge graph from electronic health records
inferred← citeshttps://doi.org/10.1108/dta-04-2022-0151openalex-snapshot
ABEE: automated bio entity extraction from biomedical text documents
inferred← citeshttps://doi.org/10.1109/access.2022.3192866openalex-snapshot
Named Entity Recognition for Chinese Electronic Medical Records Based on Multitask and Transfer Learning
inferred← citeshttps://doi.org/10.1109/cac51589.2020.9326618openalex-snapshot
Chinese Named Entity Recognition for Hazard And Operability Analysis Text Based on Albert
inferred← citeshttps://doi.org/10.1109/iaecst60924.2023.10502612openalex-snapshot
E-bidNER: A Two-stage Enhanced Named Entity Recognition for Chinese Bid Announcements
inferred← citeshttps://doi.org/10.1109/isctech60480.2023.00017openalex-snapshot
A novel semi-automatic construction and update method of COVID-19 medical knowledge graph based on deep learning for Chinese
inferred← citeshttps://doi.org/10.1117/12.2662023openalex-snapshot
Tibetan Medical Named Entity Recognition Study for Tibetan Clinical Electronic Medical Records
inferred← citeshttps://doi.org/10.1117/12.3029690openalex-snapshot
A comparative study on Chinese named entity recognition with character-level enhancement
inferred← citeshttps://doi.org/10.1142/s0218001424500046openalex-snapshot
Medical Named Entity Recognition Model Based on Knowledge Graph Enhancement
inferred← citeshttps://doi.org/10.1145/3652628.3652750openalex-snapshot
Medical Lexico-Semantic Fusion and Multi-Scale Adaptive Threshold: A Novel Approach for Chinese Medical Entity Recognition
inferred← citeshttps://doi.org/10.1145/3705677.3705701openalex-snapshot
Research on Medical Text Named Entity Recognition Model Based on Prompt Contrastive Learning
inferred← citeshttps://doi.org/10.1155/2022/8114217openalex-snapshot
A Chinese Named Entity Recognition Model of Maintenance Records for Power Primary Equipment Based on Progressive Multitype Feature Fusion
inferred← citeshttps://doi.org/10.1155/2022/8238432openalex-snapshot
An Ensemble Semantic Textual Similarity Measure Based on Multiple Evidences for Biomedical Documents
inferred← citeshttps://doi.org/10.1186/s12911-022-02049-4openalex-snapshot
An imConvNet-based deep learning model for Chinese medical named entity recognition
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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A dataset of rice breeding experimental events for drought tolerance, salinity tolerance, and low cadmium accumulation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2588490/v1openalex-snapshot
A BERT-Span Model for Named Entity Recognition in Rehabilitation Medicine
inferred← citeshttps://doi.org/10.2196/27460openalex-snapshot
Medical Specialty Recommendations by an Artificial Intelligence Chatbot on a Smartphone: Development and Deployment
inferred← citeshttps://doi.org/10.2196/44597openalex-snapshot
Chinese Clinical Named Entity Recognition From Electronic Medical Records Based on Multisemantic Features by Using Robustly Optimized Bidirectional Encoder Representation From Transformers Pretraining Approach Whole Word Masking and Convolutional Neural Networks: Model Development and Validation
inferred← citeshttps://doi.org/10.2196/60334openalex-snapshot
Chinese Clinical Named Entity Recognition With Segmentation Synonym Sentence Synthesis Mechanism: Algorithm Development and Validation
inferred← citeshttps://doi.org/10.2196/76912openalex-snapshot
Named Entity Recognition for Chinese Cancer Electronic Health Records—Development and Evaluation of a Domain-Specific BERT Model: Quantitative Study
inferred← citeshttps://doi.org/10.2196/preprints.31204openalex-snapshot
Domain Heuristic Fusion of Multi-word Embeddings for Nutrient Value Prediction (Preprint)
inferred← citeshttps://doi.org/10.32604/cmc.2024.053630openalex-snapshot
Chinese Clinical Named Entity Recognition Using Multi-Feature Fusion and Multi-Scale Local Context Enhancement
inferred← citeshttps://doi.org/10.3390/app12178539openalex-snapshot
Research on Chinese Medical Entity Recognition Based on Multi-Neural Network Fusion and Improved Tri-Training Algorithm
inferred← citeshttps://doi.org/10.3390/math9161941openalex-snapshot
Domain Heuristic Fusion of Multi-Word Embeddings for Nutrient Value Prediction
inferred← citeshttps://doi.org/10.3934/mbe.2024017openalex-snapshot
Enhancing traditional Chinese medicine diagnostics: Integrating ontological knowledge for multi-label symptom entity classification
inferred← citeshttps://doi.org/10.54097/ajst.v7i3.12715openalex-snapshot
MFF-CNER: A Multi-feature Fusion Model for Chinese Named Entity Recognition in Finance Securities
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A BERT-Span model for Chinese named entity recognition in rehabilitation medicine
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A named entity recognition model embedding rehabilitation medicine Chinese character knowledge graph
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