13 citations · 38 across the 6 of their papers we have counts for
6 papers
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation
Abhay Shukla, Paheli Bhattacharya, Soham Poddar +4
Summarization of legal case judgement documents is a challenging problem in Legal NLP. However, not much analyses exist on how different families of summarization models (e.g., ext…
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…
Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents
Paheli Bhattacharya, Soham Poddar, Koustav Rudra +2
Automatic summarization of legal case documents is an important and practical challenge. Apart from many domain-independent text summarization algorithms that can be used for this…
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…
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…
Identification of Rhetorical Roles of Sentences in Indian Legal Judgments
Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh +2
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 summari…