10 citations · 11 across the 4 of their papers we have counts for
5 papers
On the Effectiveness of Compact Biomedical Transformers
Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki +1
Language models pre-trained on biomedical corpora, such as BioBERT, have recently shown promising results on downstream biomedical tasks. Many existing pre-trained models, on the o…
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression
Mohammadmahdi Nouriborji, Omid Rohanian, David Clifton
This paper outlines the system using which team Nowruz participated in SemEval 2022 Task 7 Identifying Plausible Clarifications of Implicit and Underspecified Phrases for both subt…
Privacy-aware Early Detection of COVID-19 through Adversarial Training
Omid Rohanian, Samaneh Kouchaki, Andrew Soltan +4
Early detection of COVID-19 is an ongoing area of research that can help with triage, monitoring and general health assessment of potential patients and may reduce operational stra…
Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions
Omid Rohanian, Shiva Taslimipoor, Samaneh Kouchaki +2
We introduce a new method to tag Multiword Expressions (MWEs) using a linguistically interpretable language-independent deep learning architecture. We specifically target discontin…
SHOMA at Parseme Shared Task on Automatic Identification of VMWEs: Neural Multiword Expression Tagging with High Generalisation
Shiva Taslimipoor, Omid Rohanian
This paper presents a language-independent deep learning architecture adapted to the task of multiword expression (MWE) identification. We employ a neural architecture comprising o…