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Open Information Extraction System For Extracting Relations in Legal Documents

Publication Type : Conference Proceedings

Publisher : IEEE

Source : IEEE

Url :

Campus : Amritapuri

School : School of Computing

Center : Computational Linguistics and Indic Studies

Department : Computer Science

Year : 2022

Abstract : Open Information Extraction system (OIE) extracts textual tuples consisting of arguments and its relation within the input sentence. OIE can also be considered as an unrestricted variant of information extraction. Throughout the years these types of systems have become more and more popular. The main factor for considering such a system is that they are made for speed, then any other factor. Also, one of the major advantages of using such a system is that the relations that are extracted are human-readable. Relation extraction in the legal domain has always remained a challenge because there is no structured data available. hence making this process more challenging. Since we are working in the legal domain, extracting the relations that are present in the document is very important. This leads us to a system that is capable of assisting people in the domain. The introduction of such a system would be really important for professionals like judges, advocates and also for the common people if they want to have a quick glance at certain documents. The outcome of these systems can be really helpful for future downstream applications like question answering, sentence similarity etc.

Cite this Research Publication : N. Raj, S. Thomas and V. G, "Open Information Extraction System For Extracting Relations in Legal Documents," 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2022, pp. 1-8, doi: 10.1109/GCAT55367.2022.9971995.

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