activity
20192025
most citedAlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs

26 citations · 48 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CL2025

From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation

Amit Barman, Atanu Mandal, Sudip Kumar Naskar

In multilingual nations like India, access to legal information is often hindered by language barriers, as much of the legal and judicial documentation remains in English. Legal Ma…

cs.IR2025

HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers

Payel Santra, Madhusudan Ghosh, Debasis Ganguly +2

Leveraging both labeled (input-output associations) and unlabeled data (wider contextual grounding) may provide complementary benefits in retrieval augmented generation (RAG). Howe…

cs.LG2025

Unified Graph Networks (UGN): A Deep Neural Framework for Solving Graph Problems

Rudrajit Dawn, Madhusudan Ghosh, Partha Basuchowdhuri +1

Deep neural networks have enabled researchers to create powerful generalized frameworks, such as transformers, that can be used to solve well-studied problems in various applicatio…

cs.CL2024★ 26 cited

AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs

Madhusudan Ghosh, Shrimon Mukherjee, Asmit Ganguly +3

In recent years, there has been a surge in the publication of clinical trial reports, making it challenging to conduct systematic reviews. Automatically extracting Population, Inte…

cs.CE2024

Effect of Leaders Voice on Financial Market: An Empirical Deep Learning Expedition on NASDAQ, NSE, and Beyond

Arijit Das, Tanmoy Nandi, Prasanta Saha +4

Financial market like the price of stock, share, gold, oil, mutual funds are affected by the news and posts on social media. In this work deep learning based models are proposed to…

cs.CL2024

Generator-Guided Crowd Reaction Assessment

Sohom Ghosh, Chung-Chi Chen, Sudip Kumar Naskar

In the realm of social media, understanding and predicting post reach is a significant challenge. This paper presents a Crowd Reaction AssessMent (CReAM) task designed to estimate…

cs.CL2024

Convolutional Neural Networks can achieve binary bail judgement classification

Amit Barman, Devangan Roy, Debapriya Paul +4

There is an evident lack of implementation of Machine Learning (ML) in the legal domain in India, and any research that does take place in this domain is usually based on data from…

cs.CL2024★ 2 cited

Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection

Atanu Mandal, Gargi Roy, Amit Barman +2

With the recent surge and exponential growth of social media usage, scrutinizing social media content for the presence of any hateful content is of utmost importance. Researchers h…

cs.IR2023

Enhancing AI Research Paper Analysis: Methodology Component Extraction using Factored Transformer-based Sequence Modeling Approach

Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri +1

Research in scientific disciplines evolves, often rapidly, over time with the emergence of novel methodologies and their associated terminologies. While methodologies themselves be…

cs.CL2023★ 3 cited

Learning Semantic Text Similarity to rank Hypernyms of Financial Terms

Sohom Ghosh, Ankush Chopra, Sudip Kumar Naskar

Over the years, there has been a paradigm shift in how users access financial services. With the advancement of digitalization more users have been preferring the online mode of pe…

q-fin.GN2022★ 5 cited

FiNCAT: Financial Numeral Claim Analysis Tool

Sohom Ghosh, Sudip Kumar Naskar

While making investment decisions by reading financial documents, investors need to differentiate between in-claim and outof-claim numerals. In this paper, we present a tool which…

cs.CL2021★ 1 cited

A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot

Afia Fairoose Abedin, Amirul Islam Al Mamun, Rownak Jahan Nowrin +3

In recent times, a large number of people have been involved in establishing their own businesses. Unlike humans, chatbots can serve multiple customers at a time, are available 24/…

cs.LG2021★ 3 cited

Is Attention always needed? A Case Study on Language Identification from Speech

Atanu Mandal, Santanu Pal, Indranil Dutta +2

Language Identification (LID) is a crucial preliminary process in the field of Automatic Speech Recognition (ASR) that involves the identification of a spoken language from audio s…

cs.CL2020★ 5 cited

Classifier Combination Approach for Question Classification for Bengali Question Answering System

Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso +1

Question classification (QC) is a prime constituent of automated question answering system. The work presented here demonstrates that the combination of multiple models achieve bet…

cs.CL2019★ 3 cited

Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation

Mihaela Vela, Santanu Pal, Marcos Zampieri +2

This paper describes strategies to improve an existing web-based computer-aided translation (CAT) tool entitled CATaLog Online. CATaLog Online provides a post-editing environment w…