Negation Detection
12 papers with code • 0 benchmarks • 4 datasets
Negation detection is the task of identifying negation cues in text.
Benchmarks
These leaderboards are used to track progress in Negation Detection
You can find evaluation results in the subtasks. You can also
submitting
evaluation metrics for this task.
Libraries
Use these libraries to find Negation Detection models and implementationsDatasets
ShARe/CLEF 2014: Task 2 Disorders
This is not a Dataset
Most implemented papers
Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods
As structured data are often insufficient, labels need to be extracted from free text in electronic health records when developing models for clinical information retrieval and decision support systems.
