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Found 2 papers, 2 papers with code
Multitask Learning of Negation and Speculation using Transformers
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.
Resolving the Scope of Speculation and Negation using Transformer-Based Architectures
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
Speculation Scope Resolution
on SFU Review Corpus
(using extra training data)
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