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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 576–600 of 1729 papers

TitleStatusHype
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks—0
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents—0
RoBERTa-based Traditional Chinese Medicine Named Entity Recognition ModelCode0
YNU-HPCC at ROCLING 2022 Shared Task: A Transformer-based Model with Focal Loss and Regularization Dropout for Chinese Healthcare Named Entity RecognitionCode0
CrowNER at Rocling 2022 Shared Task: NER using MacBERT and Adversarial Training—0
SCU-NLP at ROCLING 2022 Shared Task: Experiment and Error Analysis of Biomedical Entity Detection Model—0
NCU1415 at ROCLING 2022 Shared Task: A light-weight transformer-based approach for Biomedical Name Entity Recognition—0
MIGBaseline at ROCLING 2022 Shared Task: Report on Named Entity Recognition Using Chinese Healthcare Datasets—0
NERVE at ROCLING 2022 Shared Task: A Comparison of Three Named Entity Recognition Frameworks Based on Language Model and Lexicon Approach—0
TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained TagsCode1
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges—0
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
Span-based joint entity and relation extraction augmented with sequence tagging mechanism—0
Improving Chinese Named Entity Recognition by Search Engine Augmentation—0
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity RecognitionCode0
Joint Speech Translation and Named Entity Recognition—0
Multi-Granularity Cross-Modality Representation Learning for Named Entity Recognition on Social MediaCode1
Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognitionCode0
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks—0
End-to-End Entity Detection with Proposer and RegressorCode1
A Comprehensive Analysis of Acknowledgement Texts in Web of Science: a case study on four scientific domains—0
Robust Candidate Generation for Entity Linking on Short Social Media Texts—0
Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations—0
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