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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 981–990 of 1729 papers

TitleStatusHype
Distill and Calibrate: Denoising Inconsistent Labeling Instances for Chinese Named Entity Recognition—0
Boundary Smoothing for Named Entity Recognition—0
Explicit Modeling the Context for Chinese NER—0
Topic Sentence Named Entity Recognition: A New Task with Its Dataset and Benchmarks—0
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition—0
Are We NER Yet? Measuring the Impact of ASR Errors on Named Entity Recognition in Spontaneous Conversation Transcripts—0
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning—0
Distantly Supervised Named Entity Recognition with Category-Oriented Confidence CalibrationCode0
A PubMedBERT-based Classifier with Data Augmentation Strategy for Detecting Medication Mentions in Tweets—0
Named Entity Recognition in Historic Legal Text: A Transformer and State Machine Ensemble Method—0
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