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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 841–850 of 1729 papers

TitleStatusHype
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective—0
Explicit Modeling the Context for Chinese NER—0
Packed Levitated Marker for Entity and Relation Extraction—0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity RecognitionCode0
Topic Sentence Named Entity Recognition: A New Task with Its Dataset and Benchmarks—0
Distill and Calibrate: Denoising Inconsistent Labeling Instances for Chinese Named Entity Recognition—0
Distantly Supervised Named Entity Recognition with Category-Oriented Confidence CalibrationCode0
Learning to Learn Recognising Biomedical Entities from Multiple Domains with Task Hardness—0
Unsupervised Domain Adaptation with Contrastive Learning for Cross-domain Chinese NER—0
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction—0
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