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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 1081–1090 of 1729 papers

TitleStatusHype
WTF-LOD - A New Resource for Large-Scale NER Evaluation—0
XLA: A Robust Unsupervised Data Augmentation Framework for Cross-Lingual NLP—0
YNU-HPCC at SemEval-2021 Task 10: Using a Transformer-based Source-Free Domain Adaptation Model for Semantic Processing—0
Zero- and Few-shot Named Entity Recognition and Text Expansion in Medication Prescriptions using ChatGPT—0
Zero-Resource Multi-Dialectal Arabic Natural Language Understanding—0
Zero-Shot Document-Level Biomedical Relation Extraction via Scenario-based Prompt Design in Two-Stage with LLM—0
Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model—0
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP—0
Federated Named Entity Recognition—0
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning—0
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