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Named Entity Recognition

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TitleStatusHype
NEREL: A Russian Dataset with Nested Named Entities, Relations and EventsCode1
Probing Pre-trained Auto-regressive Language Models for Named Entity Typing and RecognitionCode0
Data Augmentation for Low-Resource Named Entity Recognition Using BacktranslationCode0
Rethinking Negative Sampling for Handling Missing Entity Annotations—0
Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network—0
Deploying a BERT-based Query-Title Relevance Classifier in a Production System: a View from the Trenches—0
UzBERT: pretraining a BERT model for Uzbek—0
SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific ArticlesCode1
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction—0
De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective—0
MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility DomainCode1
Partially Supervised Named Entity Recognition via the Expected Entity Ratio LossCode1
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants—0
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding—0
Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language ModelsCode1
Extracting Semantics from Maintenance Records—0
An Intelligent Recommendation-cum-Reminder System—0
Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documentsCode1
With One Voice: Composing a Travel Voice Assistant from Re-purposed Models—0
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles—0
Preserving Cross-Linguality of Pre-trained Models via Continual Learning—0
Active Curriculum Learning—0
The Utility and Interplay of Gazetteers and Entity Segmentation for Named Entity Recognition in English—0
A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity informationCode0
Toward Fully Exploiting Heterogeneous Corpus:A Decoupled Named Entity Recognition Model with Two-stage Training—0
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