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Negation Detection

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

Papers

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Showing 11–20 of 55 papers

TitleStatusHype
Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methodsCode0
EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain—0
Automatic Extraction of Ranked SNP-Phenotype Associations from Literature through Detecting Neural Candidates, Negation and Modality Markers—0
Exploiting the Scope of Negations and Heterogeneous Features for Relation Extraction: A Case Study for Drug-Drug Interaction Extraction—0
Joint Entity Extraction and Assertion Detection for Clinical Text—0
Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking—0
A Study of the Effect of Resolving Negation and Sentiment Analysis in Recognizing Text Entailment for Arabic—0
An open-source tool for negation detection: a maximum-margin approach—0
Improving Feature Extraction for Pathology Reports with Precise Negation Scope Detection—0
Domain adaptation in practice: Lessons from a real-world information extraction pipeline—0
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