20 citations · 30 across the 6 of their papers we have counts for
6 papers
GDEGAN: Gaussian Dynamic Equivariant Graph Attention Network for Ligand Binding Site Prediction
Animesh, Plaban Kumar Bhowmick, Pralay Mitra
Accurate prediction of binding sites of a given protein, to which ligands can bind, is a critical step in structure-based computational drug discovery. Recently, Equivariant Graph…
Directed Graph-alignment Approach for Identification of Gaps in Short Answers
Archana Sahu, Plaban Kumar Bhowmick
In this paper, we have presented a method for identifying missing items known as gaps in the student answers by comparing them against the corresponding model answer/reference answ…
Automatic Recognition of Learning Resource Category in a Digital Library
Soumya Banerjee, Debarshi Kumar Sanyal, Samiran Chattopadhyay +2
Digital libraries often face the challenge of processing a large volume of diverse document types. The manual collection and tagging of metadata can be a time-consuming and error-p…
Generation of Highlights from Research Papers Using Pointer-Generator Networks and SciBERT Embeddings
Tohida Rehman, Debarshi Kumar Sanyal, Samiran Chattopadhyay +2
Nowadays many research articles are prefaced with research highlights to summarize the main findings of the paper. Highlights not only help researchers precisely and quickly identi…
Segmenting Scientific Abstracts into Discourse Categories: A Deep Learning-Based Approach for Sparse Labeled Data
Soumya Banerjee, Debarshi Kumar Sanyal, Samiran Chattopadhyay +2
The abstract of a scientific paper distills the contents of the paper into a short paragraph. In the biomedical literature, it is customary to structure an abstract into discourse…
A Two-Phase Approach Towards Identifying Argument Structure in Natural Language
Arkanath Pathak, Pawan Goyal, Plaban Bhowmick
We propose a new approach for extracting argument structure from natural language texts that contain an underlying argument. Our approach comprises of two phases: Score Assignment…