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FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance

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Prasenjit MajumderAuthors Info & Claims

FIRE '20: Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation

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https://doi.org/10.1145/3441501.3441510

Published: 17 January 2021 Publication History

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Abstract

The FIRE 2020 AILA track aimed at developing datasets and frameworks for the following two tasks: (i) Precedent and Statute Retrieval, where the task was to identify relevant prior cases and statutes (written laws) given a factual scenario, and (ii) Rhetorical Role Labelling for legal judgements, where given a case document, sentences were to be classified into 7 rhetorical roles – Fact, Ruling by Lower Court, Argument, Precedent, Statute, Ratio of the decision and Ruling by Present Court. For both the tasks, we used publicly available Indian Supreme Court case documents.

References

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Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, and Prasenjit Majumder. 2019. Overview of the FIRE 2019 AILA track: Artificial Intelligence for Legal Assistance. In Proceedings of FIRE 2019 - Forum for Information Retrieval Evaluation.

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Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, and Prasenjit Majumder. 2020. Overview of the FIRE 2020 AILA track: Artificial Intelligence for Legal Assistance. In Proceedings of FIRE 2020 - Forum for Information Retrieval Evaluation.

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Cited By

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Di Nunzio GKanoulas EMajumder P(2024)Third Workshop on Augmented Intelligence in Technology-Assisted Review Systems (ALTARS)Advances in Information Retrieval10.1007/978-3-031-56069-9_59(432-436)Online publication date: 24-Mar-2024
https://dl.acm.org/doi/10.1007/978-3-031-56069-9_59
Satapara SMehta PModha SGanguly D(2023)Indian Language Summarization at FIRE 2023Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation10.1145/3632754.3634662(27-29)Online publication date: 15-Dec-2023
https://dl.acm.org/doi/10.1145/3632754.3634662
Xiao CLiu ZLin YSun M(2023)Legal Knowledge Representation LearningRepresentation Learning for Natural Language Processing10.1007/978-981-99-1600-9_11(401-432)Online publication date: 24-Aug-2023
https://doi.org/10.1007/978-981-99-1600-9_11
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FIRE '20: Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation

December 2020

70 pages

ISBN:9781450389785

DOI:10.1145/3441501

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 ACM 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

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Published: 17 January 2021

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FIRE 2020

FIRE 2020: Forum for Information Retrieval Evaluation

December 16 - 20, 2020

Hyderabad, India

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Overall Acceptance Rate 19 of 64 submissions, 30%

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Di Nunzio GKanoulas EMajumder P(2024)Third Workshop on Augmented Intelligence in Technology-Assisted Review Systems (ALTARS)Advances in Information Retrieval10.1007/978-3-031-56069-9_59(432-436)Online publication date: 24-Mar-2024
https://dl.acm.org/doi/10.1007/978-3-031-56069-9_59
Satapara SMehta PModha SGanguly D(2023)Indian Language Summarization at FIRE 2023Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation10.1145/3632754.3634662(27-29)Online publication date: 15-Dec-2023
https://dl.acm.org/doi/10.1145/3632754.3634662
Xiao CLiu ZLin YSun M(2023)Legal Knowledge Representation LearningRepresentation Learning for Natural Language Processing10.1007/978-981-99-1600-9_11(401-432)Online publication date: 24-Aug-2023
https://doi.org/10.1007/978-981-99-1600-9_11
Di Nunzio GKanoulas EMajumder P(2023)2nd Workshop on Augmented Intelligence in Technology-Assisted Review Systems (ALTARS)Advances in Information Retrieval10.1007/978-3-031-28241-6_41(384-387)Online publication date: 2-Apr-2023
https://dl.acm.org/doi/10.1007/978-3-031-28241-6_41
Zhang YZhao YZhao Y(2022)The Application of Artificial Intelligence Decision-Making Algorithm in Crisis Analysis and Optimization of the International Court SystemMobile Information Systems10.1155/2022/81501222022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8150122
Satapara SModha BModha SMehta P(2022)FIRE 2022 ILSUM Track: Indian Language SummarizationProceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation10.1145/3574318.3574328(8-11)Online publication date: 9-Dec-2022
https://dl.acm.org/doi/10.1145/3574318.3574328
Prajwal MKumar M(2022)Legal Text Analysis Using Pre-trained TransformersAdvanced Machine Intelligence and Signal Processing10.1007/978-981-19-0840-8_37(493-504)Online publication date: 26-Jun-2022
https://doi.org/10.1007/978-981-19-0840-8_37
Fink T(2022)Graph-Enhanced Document Representation for Court Case RetrievalAdvances in Information Retrieval10.1007/978-3-030-99739-7_59(480-487)Online publication date: 5-Apr-2022
https://doi.org/10.1007/978-3-030-99739-7_59
Mehta PMandl TMajumder PGangopadhyay S(2021)Report on the FIRE 2020 evaluation initiativeACM SIGIR Forum10.1145/3476415.347641855:1(1-11)Online publication date: 16-Jul-2021
https://dl.acm.org/doi/10.1145/3476415.3476418

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AILA 2021: Shared task on Artificial Intelligence for Legal Assistance

FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance

CASRank: A ranking algorithm for legal statute retrieval

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