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Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation., , и . NAACL-HLT, стр. 173-180. Association for Computational Linguistics, (2021)NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning., , , , , , , и . SemEval@NAACL-HLT, стр. 245-255. Association for Computational Linguistics, (2018)Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing., , , , , и . CoRR, (2023)Findings of the IWSLT 2023 Evaluation Campaign., , , , , , , , , и 51 other автор(ы). IWSLT@ACL, стр. 1-61. Association for Computational Linguistics, (2023)Language-Family Adapters for Multilingual Neural Machine Translation., , и . CoRR, (2022)Discretization error of reflected fractional Brownian motion., и . WSC, стр. 270-276. IEEE, (2016)NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification., , , и . WASSA@EMNLP, стр. 57-64. Association for Computational Linguistics, (2018)AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models., , , и . EACL (Findings), стр. 2009-2018. Association for Computational Linguistics, (2023)Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization., , , , , и . CoRR, (2023)The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task., , , и . WMT@EMNLP, стр. 1084-1091. Association for Computational Linguistics, (2020)