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Named Entity Recognition

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TitleStatusHype
LLM-DER:A Named Entity Recognition Method Based on Large Language Models for Chinese Coal Chemical Domain—0
Synthetic4Health: Generating Annotated Synthetic Clinical LettersCode0
SubRegWeigh: Effective and Efficient Annotation Weighing with Subword RegularizationCode0
Preserving Empirical Probabilities in BERT for Small-sample Clinical Entity Recognition—0
CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language ModelsCode0
Improving Extraction of Clinical Event Contextual Properties from Electronic Health Records: A Comparative Study—0
LSTM Recurrent Neural Networks for Cybersecurity Named Entity Recognition—0
Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study—0
Investigating LLM Applications in E-Commerce—0
CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition—0
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction—0
CLEANANERCorp: Identifying and Correcting Incorrect Labels in the ANERcorp Dataset—0
Acquiring Bidirectionality via Large and Small Language ModelsCode0
AttackER: Towards Enhancing Cyber-Attack Attribution with a Named Entity Recognition Dataset—0
mucAI at WojoodNER 2024: Arabic Named Entity Recognition with Nearest Neighbor Search—0
MaterioMiner -- An ontology-based text mining dataset for extraction of process-structure-property entities—0
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models—0
Knowledge AI: Fine-tuning NLP Models for Facilitating Scientific Knowledge Extraction and Understanding—0
UNER: A Unified Prediction Head for Named Entity Recognition in Visually-rich Documents—0
Cross-domain Named Entity Recognition via Graph Matching—0
Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities—0
Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies—0
Guidance-Based Prompt Data Augmentation in Specialized Domains for Named Entity Recognition—0
Learning Robust Named Entity Recognizers From Noisy Data With Retrieval Augmentation—0
Label Alignment and Reassignment with Generalist Large Language Model for Enhanced Cross-Domain Named Entity Recognition—0
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