Legal area classification: A comparative study of text classifiers on Singapore Supreme Court judgments

Legal area classification: A comparative study of text classifiers on Singapore Supreme Court judgments

This paper conducts a comparative study on the performance of various machine learning(“ML”) approaches for classifying judgments into legal areas. Using a novel dataset of 6,227 Singapore Supreme Court judgments, we investigate how state-of-the-art NLP methods compare against traditional statistica...

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Bibliographic Details
Main Authors: SOH, Jerrold, LIM, How Khang, CHAI, Ian Ernst
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
natural language processing
text classification
computational analysis of law
Asian Studies
Courts
International Law
Online Access:https://ink.library.smu.edu.sg/sol_research/2956
https://ink.library.smu.edu.sg/context/sol_research/article/4914/viewcontent/A_Comparative_Study_of_Text_Classifiers_on_Singapore_Supreme_Court_Judgments.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sol_research/2956
https://ink.library.smu.edu.sg/context/sol_research/article/4914/viewcontent/A_Comparative_Study_of_Text_Classifiers_on_Singapore_Supreme_Court_Judgments.pdf

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