SOTAVerified

Negation Detection

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

Papers

Showing 1–25 of 55 papers

TitleStatusHype
HPI-DHC at TREC 2018 Precision Medicine TrackCode1
Clinical Text Summarization with Syntax-Based Negation and Semantic Concept IdentificationCode1
Radiology Text Analysis System (RadText): Architecture and EvaluationCode1
Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology ReportsCode1
A Study of the Effect of Resolving Negation and Sentiment Analysis in Recognizing Text Entailment for Arabic—0
Automatic Extraction of Ranked SNP-Phenotype Associations from Literature through Detecting Neural Candidates, Negation and Modality Markers—0
An open-source tool for negation detection: a maximum-margin approach—0
Domain adaptation in practice: Lessons from a real-world information extraction pipeline—0
Annotation of negation in the IULA Spanish Clinical Record Corpus—0
A Semantic Approach to Negation Detection and Word Disambiguation with Natural Language Processing—0
Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking—0
Joint Entity Extraction and Assertion Detection for Clinical Text—0
EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain—0
Exploiting the Scope of Negations and Heterogeneous Features for Relation Extraction: A Case Study for Drug-Drug Interaction Extraction—0
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes—0
Flat and Nested Negation and Uncertainty Detection with PubMed BERT—0
Extending NegEx with Kernel Methods for Negation Detection in Clinical Text—0
Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP—0
Improving Feature Extraction for Pathology Reports with Precise Negation Scope Detection—0
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning—0
Improving negation detection with negation-focused pre-training—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
A review corpus annotated for negation, speculation and their scope—0
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