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An RG-FLAT-CRF Model for Named Entity Recognition of Chinese Electronic Clinical Records
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-12640-1_34openalex-snapshot
Radical-Enhanced Chinese Character Embedding
inferredcites →https://doi.org/10.1007/978-3-319-64861-3_33openalex-snapshot
A Bidirectional LSTM and Conditional Random Fields Approach to Medical Named Entity Recognition
inferredcites →https://doi.org/10.1007/978-3-540-30116-5_32openalex-snapshot
Nomograms for Visualization of Naive Bayesian Classifier
inferredcites →https://doi.org/10.1007/s11063-020-10289-6openalex-snapshot
Radical and Stroke-Enhanced Chinese Word Embeddings Based on Neural Networks
inferredcites →https://doi.org/10.1016/j.bspc.2021.102726openalex-snapshot
A novel framework for prognostic factors identification of malignant mesothelioma through association rule mining
inferredcites →https://doi.org/10.1016/j.jbi.2015.06.010openalex-snapshot
The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs
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.2019.103289openalex-snapshot
Chinese clinical named entity recognition with radical-level feature and self-attention mechanism
inferredcites →https://doi.org/10.1016/j.jbi.2021.103737openalex-snapshot
Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition
inferredcites →https://doi.org/10.1109/access.2020.3041951openalex-snapshot
A Survey on Machine Learning Techniques for Cyber Security in the Last Decade
inferredcites →https://doi.org/10.1109/cecit53797.2021.00060openalex-snapshot
Bi-directional Joint Embedding of Encyclopedic Knowledge and Original Text for Chinese Medical Named Entity Recognition
inferredcites →https://doi.org/10.1109/iccws48432.2020.9292388openalex-snapshot
Cyber Threat Detection Using Machine Learning Techniques: A Performance Evaluation Perspective
inferredcites →https://doi.org/10.1109/icecube.2016.7495258openalex-snapshot
Comment extraction using declarative crowdsourcing(CoEx Deco)
inferredcites →https://doi.org/10.1109/icicta49267.2019.00043openalex-snapshot
A BERT-BiLSTM-CRF Model for Chinese Electronic Medical Records Named Entity Recognition
inferredcites →https://doi.org/10.1109/icpr.2018.8545573openalex-snapshot
Word Image Representation Based on Visual Embeddings and Spatial Constraints for Keyword Spotting on Historical Documents
inferredcites →https://doi.org/10.1109/taslp.2021.3124365openalex-snapshot
Pre-Training With Whole Word Masking for Chinese BERT
inferredcites →https://doi.org/10.1109/tkde.2020.2981314openalex-snapshot
A Survey on Deep Learning for Named Entity Recognition
inferredcites →https://doi.org/10.1109/wisa.2017.8openalex-snapshot
Named Entity Recognition in Chinese Electronic Medical Records Based on CRF
inferredcites →https://doi.org/10.1136/jamia.1994.95236146openalex-snapshot
A General Natural-language Text Processor for Clinical Radiology
inferredcites →https://doi.org/10.1155/2021/2489754openalex-snapshot
Research on Named Entity Recognition of Electronic Medical Records Based on RoBERTa and Radical‐Level Feature
inferredcites →https://doi.org/10.1155/2021/6631837openalex-snapshot
A BERT‐BiGRU‐CRF Model for Entity Recognition of Chinese Electronic Medical Records
inferredcites →https://doi.org/10.1162/neco.1989.1.4.541openalex-snapshot
Backpropagation Applied to Handwritten Zip Code Recognition
inferredcites →https://doi.org/10.1186/1472-6947-13-s1-s1openalex-snapshot
Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features
inferredcites →https://doi.org/10.1186/s12859-018-2467-9openalex-snapshot
A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.611openalex-snapshot
FLAT: Chinese NER Using Flat-Lattice Transformer
inferredcites →https://doi.org/10.18653/v1/d17-1025openalex-snapshot
Learning Chinese Word Representations From Glyphs Of Characters
inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
Deep Contextualized Word Representations
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/p19-1285openalex-snapshot
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
inferredcites →https://doi.org/10.21437/interspeech.2010-343openalex-snapshot
Recurrent neural network based language model
inferredcites →https://doi.org/10.3115/1567594.1567618openalex-snapshot
Biomedical named entity recognition using conditional random fields and rich feature sets
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3390/en13102509openalex-snapshot
Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1906.08237openalex-snapshot
XLNet: Generalized Autoregressive Pretraining for Language Understanding
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-95-0017-8_25openalex-snapshot
LE-MSF: A Chinese Medical Named Entity Recognition Method Based on Lexicon Enhancement and Multi-semantic Fusion
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/10.1029/2022ea002617openalex-snapshot
Chinese Fine‐Grained Geological Named Entity Recognition With Rules and FLAT
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/10.1109/access.2024.3422677openalex-snapshot
DCM-CNER: A Dual-Channel Model for Clinical Named Entity Recognition Based on Embedded ConvNet and Gated Dilated CNN
inferred← citeshttps://doi.org/10.1109/raai67517.2025.11423345openalex-snapshot
NLP Pipeline for Electronic Health Records and Predicting the Necessity of MRI Scan Requirement Using Graph Neural Network
inferred← citeshttps://doi.org/10.1142/s0218001424500046openalex-snapshot
Medical Named Entity Recognition Model Based on Knowledge Graph Enhancement
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140369openalex-snapshot
Medical Name Entity Recognition Based on Lexical Enhancement and Global Pointer
inferred← citeshttps://doi.org/10.2196/49724openalex-snapshot
Task-Specific Transformer-Based Language Models in Health Care: Scoping Review
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/ani15060822openalex-snapshot
Chinese Named Entity Recognition for Dairy Cow Diseases by Fusion of Multi-Semantic Features Using Self-Attention-Based Deep Learning
inferred← citeshttps://doi.org/10.3390/electronics11193048openalex-snapshot
A Multitask Learning Approach for Named Entity Recognition by Exploiting Sentence-Level Semantics Globally
inferred← citeshttps://doi.org/10.3390/electronics12040927openalex-snapshot
Knowledge Engineering and Data Mining
inferred← citeshttps://doi.org/10.7717/peerj-cs.3176openalex-snapshot
A named entity recognition model embedding rehabilitation medicine Chinese character knowledge graph
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