4 papers
Reexamining zero-shot summarization: Empirical investigation of trustworthiness of LLM-summarizers
Vasudha Bhatnagar, Purnima Bindal, Vikas Kumar +1
Zero-shot summarization using Large Language Models (LLMs) has significantly advanced the abstractive summarization task by producing coherent and fluent summaries. However, underl…
PRecG: Legal Precedent Retrieval with Graph Neural Networks and Rhetorical Role Segmentation
Devanshu Verma, Vasudha Bhatnagar, Vikas Kumar +1
Legal precedent retrieval is a fundamental task in legal case preparation, planning, litigation strategy, and legal research. Current approaches for automatic precedent retrieval m…
AugAbEx: Bridging Abstractive and Extractive Legal Summarization
Purnima Bindal, Vikas Kumar, Sagar Rathore +1
Automatic summarization of legal judgments liberates law professionals from heavy cognitive burden due to the complexity of the language, context-sensitive legal jargon, and the le…
Personalized Summarization of Scientific Scholarly Texts
Alka Khurana, Vasudha Bhatnagar, Vikas Kumar
In this paper, we present a proposal for an unsupervised algorithm, P-Summ, that generates an extractive summary of scientific scholarly text to meet the personal knowledge needs o…