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Result: An overview of information extraction techniques for legal document analysis and processing

Title:
An overview of information extraction techniques for legal document analysis and processing
Publisher Information:
Zenodo
Publication Year:
2021
Collection:
Zenodo
Document Type:
Academic journal article in journal/newspaper
Language:
unknown
Relation:
https://zenodo.org/records/5720033; oai:zenodo.org:5720033
DOI:
10.11591/ijece.v11i6.pp5450-5457
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.F76D4E13
Database:
BASE

Further Information

In an Indian law system, different courts publish their legal proceedings every month for future reference of legal experts and common people. Extensive manual labor and time are required to analyze and process the information stored in these lengthy complex legal documents. Automatic legal document processing is the solution to overcome drawbacks of manual processing and will be very helpful to the common man for a better understanding of a legal domain. In this paper, we are exploring the recent advances in the field of legal text processing and provide a comparative analysis of approaches used for it. In this work, we have divided the approaches into three classes NLP based, deep learning-based and, KBP based approaches. We have put special emphasis on the KBP approach as we strongly believe that this approach can handle the complexities of the legal domain well. We finally discuss some of the possible future research directions for legal document analysis and processing.