SOTAVerified

Negation Detection

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

Papers

Showing 21–30 of 55 papers

TitleStatusHype
Learning Structures of Negations from Flat Annotations—0
MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation—0
Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks—0
Negation Detection for Clinical Text Mining in Russian—0
Negation Detection in Clinical Reports Written in German—0
Negation Detection in Dutch Spoken Human-Computer Conversations—0
Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx, PyConTextNLP and SynNeg—0
Negation Scope Detection for Twitter Sentiment Analysis—0
Negation typology and general representation models for cross-lingual zero-shot negation scope resolution in Russian, French, and Spanish.—0
NegPar: A parallel corpus annotated for negation—0
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