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Artificial Intelligence Review
Erschienen in: Artificial Intelligence Review 3/2019

29.06.2017

Text summarization from legal documents: a survey

verfasst von: Ambedkar Kanapala, Sukomal Pal, Rajendra Pamula

Erschienen in: Artificial Intelligence Review | Ausgabe 3/2019

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Abstract

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 techniques that have taken place in the recent past. We put special emphasis on the issue of legal text summarization, as it is one of the most important areas in legal domain. We start with general introduction to text summarization, briefly touch the recent advances in single and multi-document summarization, and then delve into extraction based legal text summarization. We discuss different datasets and metrics used in summarization and compare performances of different approaches, first in general and then focused to legal text. we also mention highlights of different summarization techniques. We briefly cover a few software tools used in legal text summarization. We finally conclude with some future research directions.
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Fußnoten
1
MEAD is an open-source summarization system which allows researchers to experiment with different features and methods for the single and multi-document summarization.
 
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Metadaten
Titel
Text summarization from legal documents: a survey
verfasst von
Ambedkar Kanapala
Sukomal Pal
Rajendra Pamula
Publikationsdatum
29.06.2017
Verlag
Springer Netherlands
Erschienen in
Artificial Intelligence Review / Ausgabe 3/2019
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI
https://doi.org/10.1007/s10462-017-9566-2

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