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Overview of the FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance.

, , , , , , и . FIRE (Working Notes), том 2826 из CEUR Workshop Proceedings, стр. 1-11. CEUR-WS.org, (2020)

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Michael Ghosh

Subhajit Ghosh

Arabinda Ghosh

Arabinda Ghosh

Rajat Ghosh

 

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