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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 1076–1100 of 1729 papers

TitleStatusHype
WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task—0
WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task—0
Word Boundary Information Isn't Useful for Encoder Language Models—0
Word Emdeddings through Hellinger PCA—0
W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition—0
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
Few-Shot Class-Incremental Learning for Named Entity Recognition—0
Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting—0
Few-shot Multimodal Multitask Multilingual Learning—0
Few-Shot Named Entity Recognition: An Empirical Baseline Study—0
Few-shot Named Entity Recognition with Cloze Questions—0
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes—0
Few-shot Name Entity Recognition on StackOverflow—0
Few-Shot Nested Named Entity Recognition—0
Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition—0
FiLLM -- A Filipino-optimized Large Language Model based on Southeast Asia Large Language Model (SEALLM)—0
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