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.
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 • 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 • 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 • 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.
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 • 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.
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.
no code implementations • 12 Apr 2018 • Mitodru Niyogi, Kripabandhu Ghosh, Arnab Bhattacharya
The proposed method is superior to the state-of-the-art method not only for IR evaluation measures but also in terms of time requirements.