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Integration of beamforming and uncertainty-of-observation techniques for robust ASR in multi-source environments., , , , , , , и . Comput. Speech Lang., 27 (3): 837-850 (2013)Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text., , , , , и . CoRR, (2019)Semi-Supervised Sequence-to-Sequence ASR Using Unpaired Speech and Text., , , , , и . INTERSPEECH, стр. 3790-3794. ISCA, (2019)GPT-too: A Language-Model-First Approach for AMR-to-Text Generation., , , , , , и . ACL, стр. 1846-1852. Association for Computational Linguistics, (2020)Structural Guidance for Transformer Language Models., , , и . ACL/IJCNLP (1), стр. 3735-3745. Association for Computational Linguistics, (2021)Self-Refinement of Language Models from External Proxy Metrics Feedback., , , , , , , и . CoRR, (2024)Bootstrapping Multilingual AMR with Contextual Word Alignments., , , , , , и . EACL, стр. 394-404. Association for Computational Linguistics, (2021)Alignment via Mutual Information., , , , и . CoNLL, стр. 488-497. Association for Computational Linguistics, (2023)Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing., , , , , и . EMNLP (1), стр. 6279-6290. Association for Computational Linguistics, (2021)Transition-based Parsing with Stack-Transformers., , , , и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 1001-1007. Association for Computational Linguistics, (2020)