activity
20222024
most citedGenerative AI for Software Metadata: Overview of the Information Retrieval in Software Engineering Track at FIRE 2023

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DL2024

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…

cs.SE20235 cited

Generative AI for Software Metadata: Overview of the Information Retrieval in Software Engineering Track at FIRE 2023

Srijoni Majumdar, Soumen Paul, Debjyoti Paul +5

The Information Retrieval in Software Engineering (IRSE) track aims to develop solutions for automated evaluation of code comments in a machine learning framework based on human an…

cs.SE2023

Smart Knowledge Transfer using Google-like Search

Srijoni Majumdar, Partha Pratim Das

To address the issue of rising software maintenance cost due to program comprehension challenges, we propose SMARTKT (Smart Knowledge Transfer), a search framework, which extracts…

cs.CL20233 cited

Improving Contextualized Topic Models with Negative Sampling

Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal +1

Topic modeling has emerged as a dominant method for exploring large document collections. Recent approaches to topic modeling use large contextualized language models and variation…

cs.CV20221 cited

SIGNet: Intrinsic Image Decomposition by a Semantic and Invariant Gradient Driven Network for Indoor Scenes

Partha Das, Sezer Karaoglu, Arjan Gijsenij +1

Intrinsic image decomposition (IID) is an under-constrained problem. Therefore, traditional approaches use hand crafted priors to constrain the problem. However, these constraints…