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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 1051–1060 of 1729 papers

TitleStatusHype
An Intelligent Recommendation-cum-Reminder System—0
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles—0
YNU-HPCC at SemEval-2021 Task 10: Using a Transformer-based Source-Free Domain Adaptation Model for Semantic Processing—0
Attribute Value Generation from Product Title using Language Models—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
CSECU-DSG at SemEval-2021 Task 5: Leveraging Ensemble of Sequence Tagging Models for Toxic Spans Detection—0
Improving Model Generalization: A Chinese Named Entity Recognition Case Study—0
Meta-Learning for Few-Shot Named Entity Recognition—0
Subsequence Based Deep Active Learning for Named Entity Recognition—0
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