Big data technologies have a strong impact on different industries, starting from the last
decade, which continues nowadays, with the tendency to become omnipresent. The …

Due to huge amount of legal information availability on the internet, as well as other sources,
it is important for the research community to do more extensive research on the area of legal …

Enormous amount of online information, available in legal domain, has made legal text
processing an important area of research. In this paper, we attempt to survey different text …

With the advent of large language models, methods for abstractive summarization have
made great strides, creating potential for use in applications to aid knowledge workers …

Transformer-based language models (TLMs) have widely been recognized to be a cutting-
edge technology for the successful development of deep-learning-based solutions to …

Summarization of legal case judgments is an important problem because the huge length
and complexity of such documents make them difficult to read as a whole. Many …

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 …

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 …

Recognizing Textual Entailment (RTE) was proposed as a unified evaluation framework to
compare semantic understanding of different NLP systems. In this survey paper, we provide …