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Legal Extractive Summarization of U.S. Court Opinions.

, , , and . LIRAI@HT, volume 3594 of CEUR Workshop Proceedings, page 10-30. CEUR-WS.org, (2023)

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e-FEVER: Explanations and Summaries forAutomated Fact Checking., and . TTO, page 32-43. Hacks Hackers, (2020)Legal Extractive Summarization of U.S. Court Opinions., , , and . LIRAI@HT, volume 3594 of CEUR Workshop Proceedings, page 10-30. CEUR-WS.org, (2023)The Choice of Textual Knowledge Base in Automated Claim Checking., , and . ACM J. Data Inf. Qual., 15 (1): 3:1-3:22 (March 2023)LePaRD: A Large-Scale Dataset of Judges Citing Precedents., , , and . CoRR, (2023)DocSCAN: Unsupervised Text Classification via Learning from Neighbors., and . CoRR, (2021)A Dataset for Detecting Real-World Environmental Claims., , , , and . CoRR, (2022)DocSCAN: Unsupervised Text Classification via Learning from Neighbors., and . KONVENS, page 21-28. ACL, (2022)Automated Fact-Checking of Climate Change Claims with Large Language Models., , , , , , , , , and 3 other author(s). CoRR, (2024)Enhancing Large Language Models with Climate Resources., , , , , , , and . CoRR, (2023)Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data., , and . CoRR, (2022)