short-paper

Automatic Catchphrase Identification from Legal Court Case Documents

Authors:

Arpan Mandal,

Kripabandhu Ghosh,

Arindam Pal,

Saptarshi GhoshAuthors Info & Claims

CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

Pages 2187 - 2190

https://doi.org/10.1145/3132847.3133102

Published: 06 November 2017 Publication History

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Abstract

Automatically identifying catchphrases from legal court case documents is an important problem in Legal Information Retrieval, which has not been extensively studied. In this work, we propose an unsupervised approach for extraction and ranking of catchphrases from court case documents, by focusing on noun phrases. Using a dataset of gold standard catchphrases created by legal experts from real-life court documents, we compare the proposed approach with several unsupervised and supervised baselines. We show that the proposed methodology achieves statistically significantly better performance compared to all the baselines.

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Cited By

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Ghosh TKumar S(2024)A Survey of Legal Text Analysis Techniques for Indian Legal Documents2024 International Conference on Circuit, Systems and Communication (ICCSC)10.1109/ICCSC62074.2024.10616889(1-6)Online publication date: 28-Jun-2024
https://doi.org/10.1109/ICCSC62074.2024.10616889
Ghosh TKumar S(2024)Evaluating Transformer Models for Legal Judgement Prediction: A Comparative Study2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT61001.2024.10725043(1-4)Online publication date: 24-Jun-2024
https://doi.org/10.1109/ICCCNT61001.2024.10725043
Adhikary SSen PRoy DGhosh K(2024)A case study for automated attribute extraction from legal documents using large language modelsArtificial Intelligence and Law10.1007/s10506-024-09425-7Online publication date: 11-Nov-2024
https://doi.org/10.1007/s10506-024-09425-7
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Index Terms

Automatic Catchphrase Identification from Legal Court Case Documents
1. Information systems
  1. Information retrieval

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Information & Contributors

Information

Published In

CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

November 2017

2604 pages

ISBN:9781450349185

DOI:10.1145/3132847

General Chairs:
Ee-Peng Lim
Singapore Management University, Singapore
,
Marianne Winslett
University of Illinois at Urbana-Champaign, USA, and Advanced Digital Sciences Center, Singapore
,
Program Chairs:
Mark Sanderson
RMIT, Australia
,
Ada Fu
Chinese University of Hong Kong, Hong Kong
,
Jimeng Sun
Georgia Tech, USA
,
Shane Culpepper
RMIT, Australia
,
Eric Lo
Chinese University of Hong Kong, Hong Kong
,
Joyce Ho
Emory University, USA
,
Debora Donato
Mix Tech, Inc., USA
,
Rakesh Agrawal
Data Insights Laboratories, USA
,
Yu Zheng
Microsoft Research Asia, China
,
Carlos Castillo
Qatar Computing Research Institute, Qatar
,
Aixin Sun
Nanyang Technological University, Singapore
,
Vincent S. Tseng
National Cheng Kung University, Taiwan
,
Chenliang Li
Wuhan University, China

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2017

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CIKM '17: ACM Conference on Information and Knowledge Management

November 6 - 10, 2017

Singapore, Singapore

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CIKM '17 Paper Acceptance Rate 171 of 855 submissions, 20%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Citations

Cited By

View all

Ghosh TKumar S(2024)A Survey of Legal Text Analysis Techniques for Indian Legal Documents2024 International Conference on Circuit, Systems and Communication (ICCSC)10.1109/ICCSC62074.2024.10616889(1-6)Online publication date: 28-Jun-2024
https://doi.org/10.1109/ICCSC62074.2024.10616889
Ghosh TKumar S(2024)Evaluating Transformer Models for Legal Judgement Prediction: A Comparative Study2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT61001.2024.10725043(1-4)Online publication date: 24-Jun-2024
https://doi.org/10.1109/ICCCNT61001.2024.10725043
Adhikary SSen PRoy DGhosh K(2024)A case study for automated attribute extraction from legal documents using large language modelsArtificial Intelligence and Law10.1007/s10506-024-09425-7Online publication date: 11-Nov-2024
https://doi.org/10.1007/s10506-024-09425-7
Moro GPiscaglia NRagazzi LItaliani P(2024)Multi-language transfer learning for low-resource legal case summarizationArtificial Intelligence and Law10.1007/s10506-023-09373-832:4(1111-1139)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/s10506-023-09373-8
Goswami SSaini NShukla S(2024)Incorporating Domain Knowledge in Multi-objective Optimization Framework for Automating Indian Legal Case SummarizationPattern Recognition10.1007/978-3-031-78495-8_17(265-280)Online publication date: 4-Dec-2024
https://doi.org/10.1007/978-3-031-78495-8_17
Makawana MMehta R(2023)A novel network-based paragraph filtering technique for legal document similarity analysisArtificial Intelligence and Law10.1007/s10506-023-09375-6Online publication date: 19-Oct-2023
https://doi.org/10.1007/s10506-023-09375-6
Zadgaonkar AAgrawal A(2023)An Approach for Analyzing Unstructured Text Data Using Topic Modeling Techniques for Efficient Information ExtractionNew Generation Computing10.1007/s00354-023-00230-542:1(109-134)Online publication date: 27-Aug-2023
https://doi.org/10.1007/s00354-023-00230-5
Sansone CSperlí G(2022)Legal Information Retrieval systemsInformation Systems10.1016/j.is.2021.101967106:COnline publication date: 12-May-2022
https://dl.acm.org/doi/10.1016/j.is.2021.101967
Bhattacharya PGhosh KPal AGhosh S(2022)Legal case document similarityInformation Processing and Management: an International Journal10.1016/j.ipm.2022.10306959:6Online publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1016/j.ipm.2022.103069
Mandal AGhosh KGhosh SMandal S(2021)A sequence labeling model for catchphrase identification from legal case documentsArtificial Intelligence and Law10.1007/s10506-021-09296-230:3(325-358)Online publication date: 30-Jul-2021
https://doi.org/10.1007/s10506-021-09296-2
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Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity

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