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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 201–210 of 1729 papers

TitleStatusHype
LTP: A New Active Learning Strategy for CRF-Based Named Entity RecognitionCode1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity RecognitionCode1
Med7: a transferable clinical natural language processing model for electronic health recordsCode1
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity RecognitionCode1
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related TweetsCode1
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot ContextsCode1
Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-TuningCode1
MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)Code1
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu FrameworkCode1
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