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Privacy-Preserving Models for Legal Natural Language Processing.

, and . NLLP@EMNLP, page 172-183. Association for Computational Linguistics, (2022)

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DP-BART for Privatized Text Rewriting under Local Differential Privacy., and . ACL (Findings), page 13914-13934. Association for Computational Linguistics, (2023)The Legal Argument Reasoning Task in Civil Procedure., , and . NLLP@EMNLP, page 194-207. Association for Computational Linguistics, (2022)Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation., , and . CoRR, (2024)SemEval-2024 Task 5: Argument Reasoning in Civil Procedure., and . SemEval@NAACL, page 2027-2038. Association for Computational Linguistics, (2024)Differentially Private Natural Language Models: Recent Advances and Future Directions., , , and . CoRR, (2023)Semantic Spaces for Sentiment Analysis., and . TSD, volume 8082 of Lecture Notes in Computer Science, page 484-491. Springer, (2013)DP-NMT: Scalable Differentially Private Machine Translation., , , , , and . EACL (Demonstrations), page 94-105. Association for Computational Linguistics, (2024)Mining legal arguments in court decisions., , , , , , and . Artif. Intell. Law, 32 (3): 1-38 (September 2024)Hybrid Semantic Analysis., and . TSD, volume 5729 of Lecture Notes in Computer Science, page 307-314. Springer, (2009)How Much User Context Do We Need? Privacy by Design in Mental Health NLP Application., , , and . CoRR, (2022)