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NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline., , , , , , , , и . TAC, NIST, (2018)BLT: Can Large Language Models Handle Basic Legal Text?, , и . CoRR, (2023)A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering., , и . NLLP@KDD, том 2645 из CEUR Workshop Proceedings, стр. 31-38. CEUR-WS.org, (2020)NIST TAC SM-KBP 2019 System Description: JHU/UR Framework., , , , , , , , , и 5 other автор(ы). TAC, NIST, (2019)Can GPT-3 Perform Statutory Reasoning?, , и . ICAIL, стр. 22-31. ACM, (2023)CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation., , , , , , , и . CoRR, (2024)Learning from Multiview Correlations in Open-Domain Videos., , , , и . CoRR, (2018)Learning from Multiview Correlations in Open-domain Videos., , , , и . ICASSP, стр. 8628-8632. IEEE, (2019)Grounded Sequence to Sequence Transduction., , , , , , , , , и 8 other автор(ы). IEEE J. Sel. Top. Signal Process., 14 (3): 577-591 (2020)Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering., , , , и . CoNLL, стр. 44-54. Association for Computational Linguistics, (2019)