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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

Greatest papers with code

Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification

29 Feb 2020ckbjimmy/clneg

In the era of clinical information explosion, a good strategy for clinical text summarization is helpful to improve the clinical workflow.

HIERARCHICAL STRUCTURE NEGATION DETECTION TEXT SUMMARIZATION

Multitask Learning of Negation and Speculation using Transformers

20 Nov 2020adityak6798/Transformers-For-Negation-and-Speculation

Detecting negation and speculation in language has been a task of considerable interest to the biomedical community, as it is a key component of Information Extraction systems from Biomedical documents.

NEGATION SCOPE RESOLUTION SPECULATION SCOPE RESOLUTION

Resolving the Scope of Speculation and Negation using Transformer-Based Architectures

9 Jan 2020adityak6798/Transformers-For-Negation-and-Speculation

Speculation is a naturally occurring phenomena in textual data, forming an integral component of many systems, especially in the biomedical information retrieval domain.

 Ranked #1 on Negation Scope Resolution on BioScope : Abstracts (using extra training data)

INFORMATION RETRIEVAL NEGATION SCOPE RESOLUTION SPECULATION SCOPE RESOLUTION

NegBERT: A Transfer Learning Approach for Negation Detection and Scope Resolution

LREC 2020 adityak6798/Transformers-For-Negation-and-Speculation

Our model, referred to as NegBERT, achieves a token level F1 score on scope resolution of 92. 36 on the Sherlock dataset, 95. 68 on the BioScope Abstracts subcorpus, 91. 24 on the BioScope Full Papers subcorpus, 90. 95 on the SFU Review Corpus, outperforming the previous state-of-the-art systems by a significant margin.

NEGATION SCOPE RESOLUTION TRANSFER LEARNING