148 citations · 759 across the 35 of their papers we have counts for
41 papers
JU_NLP at HinglishEval: Quality Evaluation of the Low-Resource Code-Mixed Hinglish Text
Prantik Guha, Rudra Dhar, Dipankar Das
In this paper we describe a system submitted to the INLG 2022 Generation Challenge (GenChal) on Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish T…
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?
Subhabrata Dutta, Jeevesh Juneja, Dipankar Das +1
Identifying argument components from unstructured texts and predicting the relationships expressed among them are two primary steps of argument mining. The intrinsic complexity of…
AdvCodeMix: Adversarial Attack on Code-Mixed Data
Sourya Dipta Das, Ayan Basak, Soumil Mandal +1
Research on adversarial attacks are becoming widely popular in the recent years. One of the unexplored areas where prior research is lacking is the effect of adversarial attacks on…
Incomplete Gamma Integrals for Deep Cascade Prediction using Content, Network, and Exogenous Signals
Subhabrata Dutta, Shravika Mittal, Dipankar Das +2
The behaviour of information cascades (such as retweets) has been modelled extensively. While point process-based generative models have long been in use for estimating cascade gro…
GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks
Jacob R. Stevens, Dipankar Das, Sasikanth Avancha +2
Graph Neural Networks (GNNs) use a fully-connected layer to extract features from the nodes of a graph and aggregate these features using message passing between nodes, combining t…
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats
Eric Qin, Geonhwa Jeong, William Won +7
Sparsity, which occurs in both scientific applications and Deep Learning (DL) models, has been a key target of optimization within recent ASIC accelerators due to the potential mem…