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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 1551–1560 of 1729 papers

TitleStatusHype
HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition—0
Handling and extracting key entities from customer conversations using Speech recognition and Named Entity recognition—0
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling—0
HardEval: Focusing on Challenging Tokens to Assess Robustness of NER—0
HAREM: the first evaluation contest for Named Entity Recognition in Portuguese—0
HealthE: Classifying Entities in Online Textual Health Advice—0
HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations—0
HFST-SweNER --- A New NER Resource for Swedish—0
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology—0
Hierarchical Region Learning for Nested Named Entity Recognition—0
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