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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
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
A review corpus annotated for negation, speculation and their scope—0
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