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Horses to Zebras: Ontology-Guided Data Augmentation and Synthesis for ICD-9 Coding.

, , , и . BioNLP@ACL, стр. 389-401. Association for Computational Linguistics, (2022)

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David Birch

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Luise Birch-Hirschfeld

Walter Birchmeier

Stefan Bircher

 

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Toward Making the Most of Context in Neural Machine Translation., , , , и . CoRR, (2020)Extrinsic Evaluation of Machine Translation Metrics., , , и . CoRR, (2022)Survey of Low-Resource Machine Translation., , , , и . Comput. Linguistics, 48 (3): 673-732 (2022)Compact Speech Translation Models via Discrete Speech Units Pretraining., , и . CoRR, (2024)Controlling Politeness in Neural Machine Translation via Side Constraints., , и . HLT-NAACL, стр. 35-40. The Association for Computational Linguistics, (2016)Prosody in Cascade and Direct Speech-to-Text Translation: a case study on Korean Wh-Phrases., , , и . EACL (Findings), стр. 674-683. Association for Computational Linguistics, (2024)Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation., , и . WMT, стр. 32-42. The Association for Computer Linguistics, (2016)Improving Neural Machine Translation Models with Monolingual Data., , и . ACL (1), The Association for Computer Linguistics, (2016)Exploring Unsupervised Pretraining Objectives for Machine Translation., , , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 2956-2971. Association for Computational Linguistics, (2021)Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets., , , , , , , и . CoRR, (2024)