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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 951–960 of 1729 papers

TitleStatusHype
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants—0
Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language ModelsCode1
An Intelligent Recommendation-cum-Reminder System—0
Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documentsCode1
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles—0
Active Curriculum Learning—0
SimpleNER Sentence Simplification System for GEM 2021—0
A Trigger-Aware Multi-Task Learning for Chinese Event Entity Recognition—0
Improving Low-Resource Named Entity Recognition via Label-Aware Data Augmentation and Curriculum Denoising—0
Attribute Value Generation from Product Title using Language Models—0
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