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SJTU-NICT at MRP 2019: Multi-Task Learning for End-to-End Uniform Semantic Graph Parsing., , , , , и . CoNLL Shared Task, стр. 45-54. Association for Computational Linguistics, (2019)Modeling Multi-turn Conversation with Deep Utterance Aggregation., , , , и . COLING, стр. 3740-3752. Association for Computational Linguistics, (2018)Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading Comprehension., , и . COLING, стр. 1467-1479. International Committee on Computational Linguistics, (2022)Fact-Driven Logical Reasoning for Machine Reading Comprehension., , и . AAAI, стр. 18851-18859. AAAI Press, (2024)Open Vocabulary Learning for Neural Chinese Pinyin IME., , и . ACL (1), стр. 1584-1594. Association for Computational Linguistics, (2019)Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model., , , и . ACL (Findings), стр. 905-915. Association for Computational Linguistics, (2022)Multiple squeezes from adaptive chirplet transform., , , , , и . Signal Process., (2019)Learning Better Masking for Better Language Model Pre-training., , и . CoRR, (2022)Reference Knowledgeable Network for Machine Reading Comprehension., , и . CoRR, (2020)Effective Subword Segmentation for Text Comprehension., , , , , и . CoRR, (2018)