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Negation Detection

Negation detection is the task of identifying negation cues in text.

Papers

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Showing 21–30 of 55 papers

TitleStatusHype
The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation—0
Negation typology and general representation models for cross-lingual zero-shot negation scope resolution in Russian, French, and Spanish.—0
EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain—0
Domain adaptation in practice: Lessons from a real-world information extraction pipeline—0
Automatic Extraction of Ranked SNP-Phenotype Associations from Literature through Detecting Neural Candidates, Negation and Modality Markers—0
Multitask Learning of Negation and Speculation using TransformersCode0
Negation Detection for Clinical Text Mining in Russian—0
Resolving the Scope of Speculation and Negation using Transformer-Based ArchitecturesCode0
NegBERT: A Transfer Learning Approach for Negation Detection and Scope ResolutionCode0
Speculation and Negation detection in French biomedical corpora—0
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