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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 1401–1410 of 1729 papers

TitleStatusHype
BanglaCoNER: Towards Robust Bangla Complex Named Entity RecognitionCode0
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related FeaturesCode0
Towards Robust Named Entity Recognition for Historic GermanCode0
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy DataCode0
Generating Medical Prescriptions with Conditional TransformerCode0
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language ModelingCode0
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-SwitchingCode0
Generating unlabelled data for a tri-training approach in a low resourced NER taskCode0
Uncertainty Estimation on Sequential Labeling via Uncertainty TransmissionCode0
YNU-HPCC at ROCLING 2022 Shared Task: A Transformer-based Model with Focal Loss and Regularization Dropout for Chinese Healthcare Named Entity RecognitionCode0
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