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Deep Learning meets Post-modern Poetry.

, and . TwinTalks@DH/DHN, volume 2717 of CEUR Workshop Proceedings, page 30-36. CEUR-WS.org, (2020)

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Requirements on the Punctuation Reconstruction for the Translation of Post-modern Poetry., , and . DHd, (2020)Natural Arabic Language Resources for Emotion Recognition in Algerian Dialect., , , and . ICALP, volume 1108 of Communications in Computer and Information Science, page 18-33. Springer, (2019)Analysis of Rhythmic Phrasing: Feature Engineering vs. Representation Learning for Classifying Readout Poetry., , and . LaTeCH@COLING, page 44-49. Association for Computational Linguistics, (2018)Analysing the Focus of a Hierarchical Attention Network: the Importance of Enjambments When Classifying Post-modern Poetry., , and . INTERSPEECH, page 2162-2166. ISCA, (2018)Analysis and Classification of Prosodic Styles in Post-modern Spoken Poetry., , and . INF-DH, Gesellschaft für Informatik e.V., (2018)Deep Learning als Herausforderung für die digitale Literaturwissenschaft., , , , , , and . DHd, (2019)Deep Learning meets Post-modern Poetry., and . TwinTalks@DH/DHN, volume 2717 of CEUR Workshop Proceedings, page 30-36. CEUR-WS.org, (2020)A Tool for Human-in-the-Loop Analysis and Exploration of (not only) Prosodic Classifications for Post-modern Poetry., , , and . GI-Jahrestagung (Workshops), volume P-295 of LNI, page 151-156. GI, (2019)