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 …

This paper contains a large literature review in the research field of Text Summarisation (TS)
based on Human Language Technologies (HLT). TS helps users manage the vast amount …

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 (eg …

Automatic summarization of legal case judgements, which are known to be long and
complex, has traditionally been tried via extractive summarization models. In recent years …

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 …

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 …

Summarization of legal case judgement documents is a practical and challenging problem,
for which many summarization algorithms of different varieties have been tried. In this work …

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 …

The appropriate understanding and fast processing of lengthy legal documents are
computationally challenging problems. Designing efficient automatic summarization …

Large-scale public datasets are vital for driving the progress of abstractive summarization,
especially in law, where documents have highly specialized jargon. However, the available …