1 code implementation • 2 Apr 2024 • Soham Poddar, Rajdeep Mukherjee, Subhendu Khatuya, Niloy Ganguly, Saptarshi Ghosh
The debate around vaccines has been going on for decades, but the COVID-19 pandemic showed how crucial it is to understand and mitigate anti-vaccine sentiments.
no code implementations • 29 Mar 2024 • Anurag Roy, Riddhiman Moulick, Vinay K. Verma, Saptarshi Ghosh, Abir Das
Continual Learning (CL) enables machine learning models to learn from continuously shifting new training data in absence of data from old tasks.
no code implementations • 28 Mar 2024 • T. Y. S. S Santosh, Vatsal Venkatkrishna, Saptarshi Ghosh, Matthias Grabmair
In particular, we investigate whether supplementing models with unlabeled target jurisdiction corpus and extractive silver summaries obtained from unsupervised algorithms on target data enhances transfer performance.
no code implementations • 27 Mar 2024 • Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter, Stefan Bechtold, Krishna P. Gummadi
In digital markets, antitrust law and special regulations aim to ensure that markets remain competitive despite the dominating role that digital platforms play today in everyone's life.
no code implementations • 2 Dec 2023 • Aniket Deroy, Subhankar Maity, Saptarshi Ghosh
This study addresses the critical issue of factual inaccuracies in machine-generated text summaries, an increasingly prevalent issue in information dissemination.
1 code implementation • 28 Oct 2023 • Debtanu Datta, Shubham Soni, Rajdeep Mukherjee, Saptarshi Ghosh
Automatic summarization of legal case judgments is a practically important problem that has attracted substantial research efforts in many countries.
1 code implementation • 17 Oct 2023 • Shubham Kumar Nigam, Aniket Deroy, Noel Shallum, Ayush Kumar Mishra, Anup Roy, Shubham Kumar Mishra, Arnab Bhattacharya, Saptarshi Ghosh, Kripabandhu Ghosh
This paper describes our submission to the SemEval-2023 for Task 6 on LegalEval: Understanding Legal Texts.
no code implementations • 15 Oct 2023 • Sayan Mahapatra, Debtanu Datta, Shubham Soni, Adrijit Goswami, Saptarshi Ghosh
Most legal text in the Indian judiciary is written in complex English due to historical reasons.
no code implementations • ICCV 2023 • Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das
Although there have been some recent CL approaches for vision transformers, they either store training instances of previous tasks or require a task identifier during test time, which can be limiting.
1 code implementation • 3 Jun 2023 • Sagar Chakraborty, Gaurav Harit, Saptarshi Ghosh
We also propose an end-to-end framework for offline processing of handwritten semi-structured documents, and benchmark it on our novel FIR dataset.
no code implementations • 2 Jun 2023 • Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh
In addition to standard metrics for summary quality, we check for inconsistencies and hallucinations in the summaries.
no code implementations • 31 Jan 2023 • Saptarshi Ghosh, Murali Sankar Venkatraman, Shehab Ahmed, Charalambos Konstantinou
In the second level, the attacker observes the placement of the PMUs and compromises them, with the aim of maximizing the state estimation error and reducing the observability of the network.
no code implementations • 23 Dec 2022 • Parantapa Bhattacharya, Saptarshi Ghosh, Muhammad Bilal Zafar, Soumya K. Ghosh, Niloy Ganguly
With over 500 million tweets posted per day, in Twitter, it is difficult for Twitter users to discover interesting content from the deluge of uninteresting posts.
1 code implementation • 22 Oct 2022 • Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal
Despite tremendous progress in automatic summarization, state-of-the-art methods are predominantly trained to excel in summarizing short newswire articles, or documents with strong layout biases such as scientific articles or government reports.
1 code implementation • 14 Oct 2022 • Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, Saptarshi Ghosh
Summarization of legal case judgement documents is a challenging problem in Legal NLP.
no code implementations • 13 Oct 2022 • Anurag Roy, David Johnson Ekka, Saptarshi Ghosh, Abir Das
In this paper, we propose a new and challenging Few-Shot Visual Question Generation (FS-VQG) task and provide a comprehensive benchmark to it.
1 code implementation • 26 Sep 2022 • Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh
Our experiments establish that our proposed network-based methods significantly improve the correlation with domain experts' opinion when compared to the existing methods for network-based legal document similarity.
1 code implementation • 13 Sep 2022 • Shounak Paul, Arpan Mandal, Pawan Goyal, Saptarshi Ghosh
With the rapidly increasing volume of Legal NLP applications in various countries, it has become necessary to pre-train such LMs over legal text of other countries as well.
1 code implementation • 28 Apr 2022 • Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh
This is also the first multi-label classification dataset that provides explanations for each of the labels.
1 code implementation • 1 Apr 2022 • Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
To this end, our experiments on multiple real-world RIR datasets reveal that the existing RIR algorithms often result in very skewed exposure distribution of items, and the quality of items is not a plausible explanation for such skew in exposure.
no code implementations • 8 Feb 2022 • Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
While investigating for the fairness of the default action, we observe that over a set of as many as 1000 queries, in nearly 68% cases, there exist one or more products which are more relevant (as per Amazon's own desktop search results) than the product chosen by Alexa.
1 code implementation • 29 Dec 2021 • Shounak Paul, Pawan Goyal, Saptarshi Ghosh
The task of Legal Statute Identification (LSI) aims to identify the legal statutes that are relevant to a given description of Facts or evidence of a legal case.
1 code implementation • 30 Jun 2021 • Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, Saptarshi Ghosh
Automatic summarization of legal case documents is an important and practical challenge.
no code implementations • 30 Jan 2021 • Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
Along a number of our proposed bias measures, we find that the sponsored recommendations are significantly more biased toward Amazon private label products compared to organic recommendations.
no code implementations • 29 Jan 2021 • Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh
Moreover, standard ROUGE evaluation metrics are unable to quantify the perceived (un)fairness of the summaries.
1 code implementation • 9 Jan 2021 • Anurag Roy, Shalmoli Ghosh, Kripabandhu Ghosh, Saptarshi Ghosh
To enable tasks such as search/retrieval and classification over all the available data, we need robust algorithms for text normalization, i. e., for cleaning different kinds of noise in the text.
Information Retrieval Optical Character Recognition (OCR) +2
1 code implementation • COLING 2020 • Shounak Paul, Pawan Goyal, Saptarshi Ghosh
Additionally, we propose a novel model that utilizes sentence-level charge labels as an auxiliary task, coupled with the main task of document-level charge identification in a multi-task learning framework.
no code implementations • 2 Nov 2020 • Niraj Kushwaha, Naveen Kumar Mendola, Saptarshi Ghosh, Ajay Deep Kachhvah, Sarika Jalan
First, the chimera states (solitary states) are engineered by establishing delays in the neighboring links of a node (the interlayer links) in a 2-D lattice (multiplex network) of oscillators.
1 code implementation • 23 Jul 2020 • Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh
Most existing algorithms for cross-modal Information Retrieval are based on a supervised train-test setup, where a model learns to align the mode of the query (e. g., text) to the mode of the documents (e. g., images) from a given training set.
no code implementations • 18 Jul 2020 • Ritam Dutt, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh
The few prior works that attempted matching only considered the resources, and no attempt has been made to understand other aspects of needs/availabilities that are essential for matching in practice.
1 code implementation • 12 Jul 2020 • Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh
Online forums and social media platforms are increasingly being used to discuss topics of varying polarities where different people take different stances.
no code implementations • 7 Jul 2020 • Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh
We propose to augment the PCNet with the hierarchy of legal statutes, to form a heterogeneous network Hier-SPCNet, having citation links between case documents and statutes, as well as citation and hierarchy links among the statutes.
1 code implementation • WS 2020 • Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripabandhu Ghosh, Saptarshi Ghosh
Although a lot of research has been done on utilising Online Social Media during disasters, there exists no system for a specific task that is critical in a post-disaster scenario -- identifying resource-needs and resource-availabilities in the disaster-affected region, coupled with their subsequent matching.
no code implementations • 26 Apr 2020 • Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh
Computing similarity between two legal documents is an important and challenging task in the domain of Legal Information Retrieval.
1 code implementation • 16 Jan 2020 • M. A. Ganaie, Saptarshi Ghosh, Naveen Mendola, M. Tanveer, Sarika Jalan
The oblique random forest with null space regularization achieved consistent performance (more than $83\%$ accuracy) across different dynamical models while the auto-encoder based random vector functional link neural network showed relatively lower performance.
1 code implementation • 13 Nov 2019 • Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner
Automatically understanding the rhetorical roles of sentences in a legal case judgement is an important problem to solve, since it can help in several downstream tasks like summarization of legal judgments, legal search, and so on.
no code implementations • 7 Feb 2019 • Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh
In this work, we propose a novel network-centric framework which is not only able to quantify various static properties of RSs, but also is able to quantify dynamic properties such as how likely RSs are to lead to polarization or segregation of information among their users.
1 code implementation • 22 Oct 2018 • Abhisek Dash, Anurag Shandilya, Arindam Biswas, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty
Specifically, considering that an extractive summarization algorithm selects a subset of the textual units (e. g. microblogs) in the original data for inclusion in the summary, we investigate whether this selection is fair or not.