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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 811–820 of 1729 papers

TitleStatusHype
HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations—0
Improving Word Vector with Prior Knowledge in Semantic Dictionary—0
Injecting Categorical Labels and Syntactic Information into Biomedical NER—0
HFST-SweNER --- A New NER Resource for Swedish—0
Embeddings for Named Entity Recognition in Geoscience Portuguese Literature—0
Biomedical Nested NER with Large Language Model and UMLS Heuristics—0
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology—0
Hierarchical Region Learning for Nested Named Entity Recognition—0
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER—0
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model—0
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