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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 1281–1290 of 1729 papers

TitleStatusHype
FLAT: Chinese NER Using Flat-Lattice TransformerCode2
On Adversarial Examples for Biomedical NLP Tasks—0
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity RecognitionCode1
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text—0
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models—0
One Model to Recognize Them All: Marginal Distillation from NER Models with Different Tag Sets—0
Self-Attention Gazetteer Embeddings for Named-Entity Recognition—0
The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User ReviewsCode1
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QACode0
Leveraging the Inherent Hierarchy of Vacancy Titles for Automated Job Ontology Expansion—0
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