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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 871–880 of 1729 papers

TitleStatusHype
Recognizing irregular entities in biomedical text via deep neural networks—0
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges—0
Reconstructing NER Corpora: a Case Study on Bulgarian—0
Recurrent Interaction Network for Jointly Extracting Entities andClassifying Relations—0
Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media—0
Redefining Developer Assistance: Through Large Language Models in Software Ecosystem—0
R\'e-entra\^ ou entra\^ soi-m\^eme ? Strat\'egies de pr\'e-entra\^ de BERT en domaine m\'edical (Re-train or train from scratch ? Pre-training strategies for BERT in the medical domain )—0
Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification—0
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition—0
Reinforcement-based denoising of distantly supervised NER with partial annotation—0
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