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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 581–590 of 1729 papers

TitleStatusHype
YNU-HPCC at ROCLING 2022 Shared Task: A Transformer-based Model with Focal Loss and Regularization Dropout for Chinese Healthcare Named Entity RecognitionCode0
MIGBaseline at ROCLING 2022 Shared Task: Report on Named Entity Recognition Using Chinese Healthcare Datasets—0
RoBERTa-based Traditional Chinese Medicine Named Entity Recognition ModelCode0
SCU-NLP at ROCLING 2022 Shared Task: Experiment and Error Analysis of Biomedical Entity Detection Model—0
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges—0
TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained TagsCode1
Automatic extraction of materials and properties from superconductors scientific literatureCode1
A practical method for occupational skills detection in Vietnamese job listings—0
Enhancing Label Consistency on Document-level Named Entity RecognitionCode0
Improving Chinese Named Entity Recognition by Search Engine Augmentation—0
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