activity
20172022
most citedMethods for Computing Legal Document Similarity: A Comparative Study

13 citations · 15 across the 7 of their papers we have counts for

collaborators

8 papers

cs.IR2022★ 1 cited

Legal Case Document Similarity: You Need Both Network and Text

Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal +1

Estimating the similarity between two legal case documents is an important and challenging problem, having various downstream applications such as prior-case retrieval and citation…

cs.CR2022

PhishSim: Aiding Phishing Website Detection with a Feature-Free Tool

Rizka Purwanto, Arindam Pal, Alan Blair +1

In this paper, we propose a feature-free method for detecting phishing websites using the Normalized Compression Distance (NCD), a parameter-free similarity measure which computes…

cs.LG2021

Man versus Machine: AutoML and Human Experts' Role in Phishing Detection

Rizka Purwanto, Arindam Pal, Alan Blair +1

Machine learning (ML) has developed rapidly in the past few years and has successfully been utilized for a broad range of tasks, including phishing detection. However, building an…

cs.DL2020

Identification, Tracking and Impact: Understanding the trade secret of catchphrases

Jagriti Jalal, Mayank Singh, Arindam Pal +2

Understanding the topical evolution in industrial innovation is a challenging problem. With the advancement in the digital repositories in the form of patent documents, it is becom…

cs.IR2020

Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity

Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal +1

Computing similarity between two legal case documents is an important and challenging task in Legal IR, for which text-based and network-based measures have been proposed in litera…

cs.SI2020★ 13 cited

Methods for Computing Legal Document Similarity: A Comparative Study

Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal +1

Computing similarity between two legal documents is an important and challenging task in the domain of Legal Information Retrieval. Finding similar legal documents has many applica…

cs.DL2020★ 1 cited

Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies

Mayank Singh, Arindam Pal, Lipika Dey +1

Research and innovation is important agenda for any company to remain competitive in the market. The relationship between innovation and revenue is a key metric for companies to de…

cs.DL2017

Understanding the Impact of Early Citers on Long-Term Scientific Impact

Mayank Singh, Ajay Jaiswal, Priya Shree +3

This paper explores an interesting new dimension to the challenging problem of predicting long-term scientific impact (LTSI) usually measured by the number of citations accumulated…