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Negation Detection

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

Papers

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Showing 26–50 of 55 papers

TitleStatusHype
Clinical Text Summarization with Syntax-Based Negation and Semantic Concept IdentificationCode1
Resolving the Scope of Speculation and Negation using Transformer-Based ArchitecturesCode0
NegBERT: A Transfer Learning Approach for Negation Detection and Scope ResolutionCode0
Speculation and Negation detection in French biomedical corpora—0
A Study of the Effect of Resolving Negation and Sentiment Analysis in Recognizing Text Entailment for Arabic—0
Joint Entity Extraction and Assertion Detection for Clinical Text—0
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning—0
HPI-DHC at TREC 2018 Precision Medicine TrackCode1
Improving Feature Extraction for Pathology Reports with Precise Negation Scope Detection—0
NegPar: A parallel corpus annotated for negation—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
Problematic Cases in the Annotation of Negation in Spanish—0
Negation Detection in Clinical Reports Written in German—0
Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks—0
Syntactic methods for negation detection in radiology reports in Spanish—0
Don't Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health RecordsCode0
SERGIOJIMENEZ at SemEval-2016 Task 1: Effectively Combining Paraphrase Database, String Matching, WordNet, and Word Embedding for Semantic Textual Similarity—0
Negation Scope Detection for Twitter Sentiment Analysis—0
Extending NegEx with Kernel Methods for Negation Detection in Clinical Text—0
SWATAC: A Sentiment Analyzer using One-Vs-Rest Logistic Regression—0
Learning Structures of Negations from Flat Annotations—0
Exploiting the Scope of Negations and Heterogeneous Features for Relation Extraction: A Case Study for Drug-Drug Interaction Extraction—0
Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx, PyConTextNLP and SynNeg—0
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