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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

Showing 161170 of 1729 papers

TitleStatusHype
UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models0
Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service0
MMM: Multilingual Mutual Reinforcement Effect Mix Datasets & Test with Open-domain Information Extraction Large Language Models0
WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task0
DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documentsCode1
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific ScenariosCode0
Biomedical Nested NER with Large Language Model and UMLS Heuristics0
TokenVerse: Towards Unifying Speech and NLP Tasks via Transducer-based ASRCode0
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework0
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?Code0
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