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Overview of the FIRE 2017 IRLeD Track: Information Retrieval from Legal Documents.

, , , , and . FIRE (Working Notes), volume 2036 of CEUR Workshop Proceedings, page 63-68. CEUR-WS.org, (2017)

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Automated Attribute Extraction from Legal Proceedings., , , , , and . CoRR, (2023)FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance., , , , , , and . FIRE, page 1-3. ACM, (2020)Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance., , , , , , and . FIRE (Working Notes), volume 2517 of CEUR Workshop Proceedings, page 1-12. CEUR-WS.org, (2019)ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions., , , and . CIKM, page 1315-1324. ACM, (2020)How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?, , and . LegalAIIA@ICAIL, volume 3423 of CEUR Workshop Proceedings, page 8-19. CEUR-WS.org, (2023)Retrieving Information from Multiple Sources., , , , and . WWW (Companion Volume), page 43-44. ACM, (2018)Cluster-Based Relevance Feedback: Legal Track 2011., , and . TREC, volume 500-296 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2011)FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance., , , , , , and . FIRE, page 4-6. ACM, (2019)ECIR 2017 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP 2017)., , , , , and . SIGIR Forum, 51 (1): 36-41 (2017)Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization., , , , and . IEEE BigData, page 3692-3701. IEEE, (2020)