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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

Showing 761770 of 1729 papers

TitleStatusHype
MIGBaseline at ROCLING 2022 Shared Task: Report on Named Entity Recognition Using Chinese Healthcare Datasets0
NCU1415 at ROCLING 2022 Shared Task: A light-weight transformer-based approach for Biomedical Name Entity Recognition0
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges0
NERVE at ROCLING 2022 Shared Task: A Comparison of Three Named Entity Recognition Frameworks Based on Language Model and Lexicon Approach0
YNU-HPCC at ROCLING 2022 Shared Task: A Transformer-based Model with Focal Loss and Regularization Dropout for Chinese Healthcare Named Entity RecognitionCode0
SCU-NLP at ROCLING 2022 Shared Task: Experiment and Error Analysis of Biomedical Entity Detection Model0
A practical method for occupational skills detection in Vietnamese job listings0
Enhancing Label Consistency on Document-level Named Entity RecognitionCode0
Improving Chinese Named Entity Recognition by Search Engine Augmentation0
Span-based joint entity and relation extraction augmented with sequence tagging mechanism0
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