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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 1251–1260 of 1729 papers

TitleStatusHype
An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning—0
Multi-Cell Compositional LSTM for NER Domain Adaptation—0
SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling—0
Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference—0
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling—0
Low Resource Sequence Tagging using Sentence Reconstruction—0
Chatbot: A Conversational Agent employed with Named Entity Recognition Model using Artificial Neural Network—0
Exploring the BERT Cross-Lingual Transferability: a Case Study in Reading Comprehension—0
Building Low-Resource NER Models Using Non-Speaker Annotation—0
FinEst BERT and CroSloEngual BERT: less is more in multilingual models—0
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