35 citations · 42 across the 11 of their papers we have counts for
4 papers · 1 filter
Evaluating Generalizability of Deep Learning Models Using Indian-COVID-19 CT Dataset
Suba S, Nita Parekh, Ramesh Loganathan +2
Computer tomography (CT) have been routinely used for the diagnosis of lung diseases and recently, during the pandemic, for detecting the infectivity and severity of COVID-19 disea…
Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource Languages
Amit Pandey, Swayatta Daw, Narendra Babu Unnam +1
We leverage pre-trained language models to solve the task of complex NER for two low-resource languages: Chinese and Spanish. We use the technique of Whole Word Masking(WWM) to boo…
Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers
Vivek Kumar, Rishabh Maheshwary, Vikram Pudi
Existing Math Word Problem (MWP) solvers have achieved high accuracy on benchmark datasets. However, prior works have shown that such solvers do not generalize well and rely on sup…
Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER
Amit Pandey, Swayatta Daw, Vikram Pudi
We investigate the task of complex NER for the English language. The task is non-trivial due to the semantic ambiguity of the textual structure and the rarity of occurrence of such…