no code implementations • 7 Mar 2021 • Aditya Khandelwal, Vahida Attar
Negation Scope Resolution is an extensively researched problem, which is used to locate the words affected by a negation cue in a sentence.
1 code implementation • 20 Nov 2020 • Aditya Khandelwal, Benita Kathleen Britto
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.
1 code implementation • 9 Jan 2020 • Benita Kathleen Britto, Aditya Khandelwal
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)
1 code implementation • LREC 2020 • Aditya Khandelwal, Suraj Sawant
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)