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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 921–930 of 1729 papers

TitleStatusHype
Skill over Scale: The Case for Medium, Domain-Specific Models for SE—0
Statistical Dataset Evaluation: Reliability, Difficulty, and Validity—0
Structured Language Generation Model for Robust Structure Prediction—0
Subsequence Based Deep Active Learning for Named Entity Recognition—0
Suivi de contours d'articulateurs orofaciaux \`a partir d'IRM dynamique (Orofacial articulators tracking from dynamic MRI)—0
Surprisingly Simple Adapter Ensembling for Zero-Shot Cross-Lingual Sequence Tagging—0
Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina—0
Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools—0
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data—0
Biomedical Named Entity Recognition via Reference-Set Augmented Bootstrapping—0
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