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CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction., , , , , , , , , and 1 other author(s). CoRR, (2018)Legal Judgment Prediction via Topological Learning., , , , , and . EMNLP, page 3540-3549. Association for Computational Linguistics, (2018)Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training., , , , , , and . LREC/COLING, page 7324-7335. ELRA and ICCL, (2024)CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain., , , , , , , , , and 1 other author(s). CoRR, (2019)UPRec: User-Aware Pre-training for Recommender Systems., , , , , , and . CoRR, (2021)UPRec: User-aware Pre-training for sequential Recommendation., , , , , , and . AI Open, (January 2023)More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction., , , , , , , , , and . AACL/IJCNLP, page 745-758. Association for Computational Linguistics, (2020)Emergent Modularity in Pre-trained Transformers., , , , , , , , , and . ACL (Findings), page 4066-4083. Association for Computational Linguistics, (2023)Denoising Relation Extraction from Document-level Distant Supervision., , , , , , , and . EMNLP (1), page 3683-3688. Association for Computational Linguistics, (2020)Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules., , , , , , , , , and 1 other author(s). EMNLP (Findings), page 9947-9959. Association for Computational Linguistics, (2023)