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SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection.

, , , , , , , , , , , , , , , , , , , , , , , , , , , и . SIGMORPHON, стр. 1-39. Association for Computational Linguistics, (2020)

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Nina Mielke

Untersuchung der Rolle von Regulatoren der Translation im hämatopoetischen System und in der Lymphom-Pathogenese. HU Berlin, (2009)

Sabrina Schlosser

Epigenetische Mechanismen der Inaktivierung wachstumsregulierender Gene bei ZNS-Tumoren im Kindesalter. Uni Münster, (2009)

Sabrina Beller

Retrograde Myokardperfusion über einen neuartigen Stent-basierten ventrikulo-koronarvenösen Bypass (venöser VPASS): Vergleich zur Selektiven Synchronisierten Retroinfusion (SSR) im tierexperimentellen Modell akuter Myokardischämie. Uni München, (2009)

Sabrina Röseler

Funktionsuntersuchungen von Septinen. Uni Freiburg, (2009)

Hans Mielke

 

Другие публикации лиц с тем же именем

SIGTYP 2020 Shared Task: Prediction of Typological Features., , , , , , , , и . CoRR, (2020)SIGTYP 2021 Shared Task: Robust Spoken Language Identification., , , , , , , , и . CoRR, (2021)Linguistic calibration through metacognition: aligning dialogue agent responses with expected correctness., , , и . CoRR, (2020)Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset., , , , , , и . LREC, стр. 2413-2423. European Language Resources Association, (2020)UniMorph 3.0: Universal Morphology., , , , , , , , , и 12 other автор(ы). LREC, стр. 3922-3931. European Language Resources Association, (2020)It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information., , , , и . ACL, стр. 1640-1649. Association for Computational Linguistics, (2020)Reducing Conversational Agents' Overconfidence through Linguistic Calibration., , , и . Trans. Assoc. Comput. Linguistics, (2022)UniMorph 4.0: Universal Morphology., , , , , , , , , и 85 other автор(ы). LREC, стр. 840-855. European Language Resources Association, (2022)Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP., , , , , , , , , и 1 other автор(ы). CoRR, (2021)Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!, , и . EMNLP (1), стр. 1728-1736. Association for Computational Linguistics, (2020)