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Found 1 papers, 1 papers with code
NegBERT: A Transfer Learning Approach for Negation Detection and Scope Resolution
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.
Ranked #2 on
Negation Scope Resolution
on SFU Review Corpus
(using extra training data)
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