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A Chinese Named Entity Recognition Method Based on ERNIE-BiLSTM-CRF for Food Safety Domain

https://doi.org/10.3390/app13052849
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1075/li.30.1.03nadopenalex-snapshot
A survey of named entity recognition and classification
inferredcites →https://doi.org/10.1109/mcom.101.2001126openalex-snapshot
Securing Critical Infrastructures: Deep-Learning-Based Threat Detection in IIoT
inferredcites →https://doi.org/10.1109/mwc.001.2000374openalex-snapshot
Deep-Learning-Empowered Breast Cancer Auxiliary Diagnosis for 5GB Remote E-Health
inferredcites →https://doi.org/10.1109/rbme.2022.3210270openalex-snapshot
Natural Language Processing for Smart Healthcare
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/tmm.2020.2993948openalex-snapshot
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients
inferredcites →https://doi.org/10.1162/tacl_a_00104openalex-snapshot
Named Entity Recognition with Bidirectional LSTM-CNNs
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.45openalex-snapshot
Dice Loss for Data-imbalanced NLP Tasks
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/v1/2020.emnlp-main.107openalex-snapshot
Named Entity Recognition for Social Media Texts with Semantic Augmentation
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.378openalex-snapshot
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
inferredcites →https://doi.org/10.18653/v1/d15-1064openalex-snapshot
Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
inferredcites →https://doi.org/10.18653/v1/d18-1017openalex-snapshot
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism
inferredcites →https://doi.org/10.18653/v1/d19-1539openalex-snapshot
Cloze-driven Pretraining of Self-attention Networks
inferredcites →https://doi.org/10.18653/v1/n16-1030openalex-snapshot
Neural Architectures for Named Entity Recognition
inferredcites →https://doi.org/10.18653/v1/n19-1247openalex-snapshot
An Encoding Strategy Based Word-Character LSTM for Chinese NER
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/p16-2034openalex-snapshot
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
inferredcites →https://doi.org/10.18653/v1/p17-1161openalex-snapshot
Semi-supervised sequence tagging with bidirectional language models
inferredcites →https://doi.org/10.18653/v1/p18-1144openalex-snapshot
Chinese NER Using Lattice LSTM
inferredcites →https://doi.org/10.18653/v1/p18-4006openalex-snapshot
YEDDA: A Lightweight Collaborative Text Span Annotation Tool
inferredcites →https://doi.org/10.18653/v1/p19-1336openalex-snapshot
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition
inferredcites →https://doi.org/10.48550/arxiv.1901.10125openalex-snapshot
Glyce: Glyph-vectors for Chinese Character Representations
inferredcites →https://doi.org/10.63317/4b28sxrym3jaopenalex-snapshot
Comparison of the Impact of Word Segmentation on Name Tagging for Chinese and Japanese

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Advformer: A Neural Network Architecture for Correcting Korean Spacing Error Using Adversarial Perturbation
inferred← citeshttps://doi.org/10.1016/j.fufo.2026.101152openalex-snapshot
Natural language processing in food safety research
inferred← citeshttps://doi.org/10.1016/j.jfp.2024.100418openalex-snapshot
Exploring Food Safety Emergency Incidents on Sina Weibo: Using Text Mining and Sentiment Evolution
inferred← citeshttps://doi.org/10.1016/j.jjimei.2025.100354openalex-snapshot
A Novel Named Entity Recognition approach of Indonesian fake news using part of speech and BERT model on presidential election
inferred← citeshttps://doi.org/10.1016/j.ssaho.2025.101729openalex-snapshot
Scientometric analysis of emerging trends and research landscape of ERNIE Bot's potentials as an educational tool: A mixed method study of a large language model
inferred← citeshttps://doi.org/10.1016/j.tifs.2026.105592openalex-snapshot
Knowledge graph and large language model synergy for food safety: Approaches and perspectives
inferred← citeshttps://doi.org/10.1080/19475705.2025.2551272openalex-snapshot
An automated end-to-end pipeline for identifying fine-grained waterlogging locations from Chinese social media
inferred← citeshttps://doi.org/10.1109/icscc62041.2024.10690331openalex-snapshot
NLP and GPT Integration for Drug Information Analysis and Health Advice
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9305529/v1openalex-snapshot
Natural language processing in food safety research: A systematic review
inferred← citeshttps://doi.org/10.3390/agriengineering7040094openalex-snapshot
Combining the Pre-Trained Model Roberta with a Two-Layer Bidirectional Long- and Short-Term Memory Network and a Multi-Head Attention Mechanism for a Rice Phenomics Entity Classification Study
inferred← citeshttps://doi.org/10.3390/app131911003openalex-snapshot
Extracting Domain-Specific Chinese Named Entities for Aviation Safety Reports: A Case Study
inferred← citeshttps://doi.org/10.3390/en18020401openalex-snapshot
A Named Entity Recognition Model for Chinese Electricity Violation Descriptions Based on Word-Character Fusion and Multi-Head Attention Mechanisms
inferred← citeshttps://doi.org/10.3390/math12172791openalex-snapshot
Few-Shot Learning Sensitive Recognition Method Based on Prototypical Network
inferred← citeshttps://doi.org/10.3724/2096-7004.di.2024.0025openalex-snapshot
Research on Quality Tracing Method for Knowledge Graph Q&A Based on Improved Knowledge Extraction Modeling
inferred← citeshttps://doi.org/10.3934/mbe.2024052openalex-snapshot
Entity recognition of railway signal equipment fault information based on RoBERTa-wwm and deep learning integration
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