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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 61–70 of 1729 papers

TitleStatusHype
AraBERT: Transformer-based Model for Arabic Language UnderstandingCode1
Data Augmentation for Cross-Domain Named Entity RecognitionCode1
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity RecognitionCode1
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media AnalysisCode1
Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLPCode1
Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based TechniqueCode1
A Sequence-to-Set Network for Nested Named Entity RecognitionCode1
An Effective Transition-based Model for Discontinuous NERCode1
An Embarrassingly Easy but Strong Baseline for Nested Named Entity RecognitionCode1
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
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