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FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance

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Prasenjit MajumderAuthors Info & Claims

FIRE '19: Proceedings of the 11th Annual Meeting of the Forum for Information Retrieval Evaluation

Pages 4 - 6

https://doi.org/10.1145/3368567.3368587

Published: 12 December 2019 Publication History

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Abstract

The FIRE 2019 AILA track focused on creating a framework for evaluating different methods of retrieving relevant prior/precedent cases and statutes given a factual scenario. There were two tasks for this track: (i) Identifying relevant prior cases for a given situation (Precedent Retrieval), and (ii) Identifying most relevant statutes for a given situation (Statute Retrieval). Given a situation that can lead to filing a case, the precedent retrieval task aims at finding case documents where similar legal situations were addressed. The statute retrieval task aims at finding relevant statutes that are applicable to the situation. The factual scenarios, statutes and prior case documents used in the tasks were from the Indian Supreme Court judiciary.

References

[1]

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, Kaustubh Hiware, Subham Rajgaria, Nilay Pochhi, Kripabandhu Ghosh, and Saptarshi Ghosh. 2019. A Comparative Study of Summarization Algorithms Applied to Legal Case Judgments. In Advances in Information Retrieval -- Proceedings of European Conference on Information Retrieval (ECIR). 413--428.

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Jiaming Gao, Hui Ning, Huilin Sun, Ruifeng Liu, Zhongyuan Han, Leilei Kong, and Haoliang Qi. 2019. FIRE2019@AILA: Legal Retrieval Based on Information Retrieval Model. In Proceedings of FIRE 2019 - Forum for Information Retrieval Evaluation.

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Arpan Mandal, Kripabandhu Ghosh, Arnab Bhattacharya, Arindam Pal, and Saptarshi Ghosh. 2017. Overview of the FIRE 2017 IRLeD Track: Information Retrieval from Legal Documents. In Working notes of Annual Meeting of the Forum for Information Retrieval Evaluation (FIRE) -- CEUR workshop proceedings, Volume 2036. 63--68.

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Yunqiu Shao and Zizi Ye. 2019. THUIR@AILA 2019: Information Retrieval Approaches for Identifying Relevant Precedents and Statutes. In Proceedings of FIRE 2019 - Forum for Information Retrieval Evaluation.

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Zicheng Zhao, Hui Ning, Chengzhe Huang, Leilei Kong, Yong Han, and Zhongyuan Han. 2019. FIRE2019@AILA: Legal Information Retrieval Using Improved BM25. In Proceedings of FIRE 2019 - Forum for Information Retrieval Evaluation.

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Anand ALeonhardt JSingh JRudra KAnand A(2024)Data Augmentation for Sample Efficient and Robust Document RankingACM Transactions on Information Systems10.1145/363491142:5(1-29)Online publication date: 29-Apr-2024
https://dl.acm.org/doi/10.1145/3634911
Castano SFerrara AFuriosi EMontanelli SPicascia SRiva DStefanetti C(2024)Enforcing legal information extraction through context-aware techniques: The ASKE approachComputer Law & Security Review10.1016/j.clsr.2023.10590352(105903)Online publication date: Apr-2024
https://doi.org/10.1016/j.clsr.2023.105903
Hammami EBoughanem MFaiz RDkaki T(2024)Intermediate Hidden Layers for Legal Case Retrieval RepresentationDatabase and Expert Systems Applications10.1007/978-3-031-68312-1_23(306-319)Online publication date: 17-Aug-2024
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FIRE '19: Proceedings of the 11th Annual Meeting of the Forum for Information Retrieval Evaluation

December 2019

77 pages

ISBN:9781450377508

DOI:10.1145/3368567

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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Published: 12 December 2019

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FIRE '19

FIRE '19: Forum for Information Retrieval Evaluation

December 12 - 15, 2019

Kolkata, India

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Overall Acceptance Rate 19 of 64 submissions, 30%

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Anand ALeonhardt JSingh JRudra KAnand A(2024)Data Augmentation for Sample Efficient and Robust Document RankingACM Transactions on Information Systems10.1145/363491142:5(1-29)Online publication date: 29-Apr-2024
https://dl.acm.org/doi/10.1145/3634911
Castano SFerrara AFuriosi EMontanelli SPicascia SRiva DStefanetti C(2024)Enforcing legal information extraction through context-aware techniques: The ASKE approachComputer Law & Security Review10.1016/j.clsr.2023.10590352(105903)Online publication date: Apr-2024
https://doi.org/10.1016/j.clsr.2023.105903
Hammami EBoughanem MFaiz RDkaki T(2024)Intermediate Hidden Layers for Legal Case Retrieval RepresentationDatabase and Expert Systems Applications10.1007/978-3-031-68312-1_23(306-319)Online publication date: 17-Aug-2024
https://doi.org/10.1007/978-3-031-68312-1_23
Bellandi VCastano SMontanelli SRiva DSiccardi S(2024)A Service Infrastructure for the Italian Digital JusticeManagement of Digital EcoSystems10.1007/978-3-031-51643-6_13(179-192)Online publication date: 2-Feb-2024
https://doi.org/10.1007/978-3-031-51643-6_13
Sisodiya BUnnam NReddy PDas ASanthy KReddy VAndrade FGrabmair M(2023)Analysing the Resourcefulness of the Paragraph for Precedence RetrievalProceedings of the Nineteenth International Conference on Artificial Intelligence and Law10.1145/3594536.3595169(452-456)Online publication date: 19-Jun-2023
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Askari AAliannejadi MAbolghasemi AKanoulas EVerberne SFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long ContextsProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3614812(25-35)Online publication date: 21-Oct-2023
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Shao YWu YLiu YMao JMa S(2023)Understanding Relevance Judgments in Legal Case RetrievalACM Transactions on Information Systems10.1145/356992941:3(1-32)Online publication date: 7-Feb-2023
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Cui JShen XWen S(2023)A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and ChallengesIEEE Access10.1109/ACCESS.2023.331708311(102050-102071)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3317083
Parashar SMittal NMehta P(2023)CASRank: A ranking algorithm for legal statute retrievalMultimedia Tools and Applications10.1007/s11042-023-15464-083:2(5369-5386)Online publication date: 2-Jun-2023
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Dan JXu LWang Y(2023)Integrating legal event and context information for Chinese similar case analysisArtificial Intelligence and Law10.1007/s10506-023-09377-4Online publication date: 25-Oct-2023
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AILA 2021: Shared task on Artificial Intelligence for Legal Assistance

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