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Negation Detection

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

Papers

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Showing 1–25 of 55 papers

TitleStatusHype
Radiology Text Analysis System (RadText): Architecture and EvaluationCode1
HPI-DHC at TREC 2018 Precision Medicine TrackCode1
Clinical Text Summarization with Syntax-Based Negation and Semantic Concept IdentificationCode1
Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology ReportsCode1
Resolving the Scope of Speculation and Negation using Transformer-Based ArchitecturesCode0
NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of NegationsCode0
Multitask Learning of Negation and Speculation using TransformersCode0
NegBERT: A Transfer Learning Approach for Negation Detection and Scope ResolutionCode0
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic ProcessingCode0
Don't Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health RecordsCode0
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 negation detection with negation-focused pre-training—0
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning—0
Improving Feature Extraction for Pathology Reports with Precise Negation Scope Detection—0
Improving negation detection with negation-focused pre-training—0
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
Domain adaptation in practice: Lessons from a real-world information extraction pipeline—0
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