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Negation Detection

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

Papers

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Showing 1–50 of 55 papers

TitleStatusHype
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
HPI-DHC at TREC 2018 Precision Medicine TrackCode1
Radiology Text Analysis System (RadText): Architecture and EvaluationCode1
Don't Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health RecordsCode0
Multitask Learning of Negation and Speculation using TransformersCode0
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic ProcessingCode0
NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of NegationsCode0
NegBERT: A Transfer Learning Approach for Negation Detection and Scope ResolutionCode0
Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methodsCode0
Resolving the Scope of Speculation and Negation using Transformer-Based ArchitecturesCode0
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
Extending NegEx with Kernel Methods for Negation Detection in Clinical Text—0
Flat and Nested Negation and Uncertainty Detection with PubMed BERT—0
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes—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
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
Problematic Cases in the Annotation of Negation in Spanish—0
Revisiting subword tokenization: A case study on affixal negation in large language models—0
ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding—0
Scope resolution of predicted negation cues: A two-step neural network-based approach—0
SERGIOJIMENEZ at SemEval-2016 Task 1: Effectively Combining Paraphrase Database, String Matching, WordNet, and Word Embedding for Semantic Textual Similarity—0
Speculation and Negation detection in French biomedical corpora—0
SWATAC: A Sentiment Analyzer using One-Vs-Rest Logistic Regression—0
Syntactic methods for negation detection in radiology reports in Spanish—0
The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation—0
UABCoRAL: A Preliminary study for Resolving the Scope of Negation—0
UCM-2: a Rule-Based Approach to Infer the Scope of Negation via Dependency Parsing—0
UGroningen: Negation detection with Discourse Representation Structures—0
Unified Extraction of Health Condition Descriptions—0
A negation detection assessment of GPTs: analysis with the xNot360 dataset—0
Unsupervised Domain Adaptation for Clinical Negation Detection—0
Annotation of negation in the IULA Spanish Clinical Record Corpus—0
An open-source tool for negation detection: a maximum-margin approach—0
A review corpus annotated for negation, speculation and their scope—0
A Semantic Approach to Negation Detection and Word Disambiguation with Natural Language Processing—0
A Study of the Effect of Resolving Negation and Sentiment Analysis in Recognizing Text Entailment for Arabic—0
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