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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 1081–1090 of 1729 papers

TitleStatusHype
Lex-BERT: Enhancing BERT based NER with lexicons—0
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity RecognitionCode1
De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models—0
How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities?Code0
XLA: A Robust Unsupervised Data Augmentation Framework for Cross-Lingual NLP—0
PABI: A Unified PAC-Bayesian Informativeness Measure for Incidental Supervision Signals—0
Adaptive Self-training for Neural Sequence Labeling with Few Labels—0
Counterfactual Thinking for Long-tailed Information Extraction—0
An Automated Domain Understanding Technique for Knowledge Graph Generation—0
An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain—0
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