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JNLP Team: Deep Learning for Legal Processing in COLIEE 2020., , , , , , , , , and . CoRR, (2020)Evaluate and Visualize Legal Embeddings for Explanation Purpose., , , and . KSE, page 1-6. IEEE, (2021)A Summary of the ALQAC 2021 Competition., , , , , , , , , and 6 other author(s). KSE, page 1-5. IEEE, (2021)ParaLaw Nets - Cross-lingual Sentence-level Pretraining for Legal Text Processing., , , , , , , , and . CoRR, (2021)Fast Solvers and Preconditioners for Multiphase Flow in Porous Media.. University of Maryland, College Park, MD, USA, (2018)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/20937).ALQAC 2022: A Summary of the Competition., , , , , , , , , and 9 other author(s). KSE, page 1-5. IEEE, (2022)JNLP Team: Deep Learning Approaches for Tackling Long and Ambiguous Legal Documents in COLIEE 2022., , , , , , , and . JSAI-isAI Workshops, volume 13859 of Lecture Notes in Computer Science, page 68-83. Springer, (2022)JNLP Team: Deep Learning Approaches for Legal Processing Tasks in COLIEE 2021., , , , , , , , and . CoRR, (2021)How State-Of-The-Art Models Can Deal With Long-Form Question Answering., , , and . PACLIC, page 375-382. Association for Computational Linguistics, (2020)How Curriculum Learning Performs on AMR Parsing., , , , and . KSE, page 1-6. IEEE, (2021)