24 citations · 50 across the 6 of their papers we have counts for
4 papers
How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?
Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh
Automatic summarization of legal case judgements has traditionally been attempted by using extractive summarization methods. However, in recent years, abstractive summarization mod…
ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts
Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee +8
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…
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…