Search Results for author: Aditya Khandelwal

Found 4 papers, 3 papers with code

Orthogonal Attention: A Cloze-Style Approach to Negation Scope Resolution

no code implementations7 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.

Negation Negation Scope Resolution +1

Multitask Learning of Negation and Speculation using Transformers

1 code implementation20 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.

Negation Negation and Speculation Scope resolution +2

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

1 code implementation9 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)

Biomedical Information Retrieval Information Retrieval +4

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

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)

Negation Negation and Speculation Cue Detection +2

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