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

Benchmarks

You can find evaluation results in the subtasks. You can also submitting evaluation metrics for this task.

Subtasks

Datasets

Latest papers without code

Negation Detection for Clinical Text Mining in Russian

10 Apr 2020

This paper is devoted to a module of negation detection.

NEGATION DETECTION

Speculation and Negation detection in French biomedical corpora

RANLP 2019

We reach up to 97. 21 {\%} and 91. 30 {\%} F-measure for the detection of negation and speculation cues, respectively, using CRFs.

NEGATION DETECTION WORD EMBEDDINGS

A Study of the Effect of Resolving Negation and Sentiment Analysis in Recognizing Text Entailment for Arabic

5 Jul 2019

This paper aims to increase the entailment accuracy for Arabic texts by resolving negation of the text-hypothesis pair and determining the polarity of the text-hypothesis pair whether it is Positive, Negative or Neutral.

NATURAL LANGUAGE INFERENCE NEGATION DETECTION QUESTION ANSWERING SENTIMENT ANALYSIS TEXT SUMMARIZATION

Joint Entity Extraction and Assertion Detection for Clinical Text

ACL 2019

Most of the existing systems treat this task as a pipeline of two separate tasks, i. e., named entity recognition (NER) and rule-based negation detection.

ENTITY EXTRACTION USING GAN NAMED ENTITY RECOGNITION NEGATION DETECTION

Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning

29 Nov 2018

Clinical text provides essential information to estimate the acuity of a patient during hospital stays in addition to structured clinical data.

ENTITY EXTRACTION USING GAN MORTALITY PREDICTION NEGATION DETECTION TIME SERIES

Improving Feature Extraction for Pathology Reports with Precise Negation Scope Detection

COLING 2018

We use a broad coverage, linguistically precise English Resource Grammar (ERG) to detect negation scope in sentences taken from pathology reports.

CLASSIFICATION NEGATION DETECTION

Unsupervised Domain Adaptation for Clinical Negation Detection

WS 2017

Detecting negated concepts in clinical texts is an important part of NLP information extraction systems.

NEGATION DETECTION UNSUPERVISED DOMAIN ADAPTATION