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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8 9...104 Hits 81 – 100 of 2.075 81 Bericht: Tutorium Inklusion und (digitale) Medienbildung Jennert, Pia; Jost, Sophie Luisa; Sendler, Sophie. - 2021 BASE Show details 82 „Was kann ich eigentlich? Welche Begabungen schlummern in mir?“ Die Geschichte über die vielen Begabungen in jedem von uns. Eine Rezension zum Kinderbuch vielleicht von Kobi Yamada Weide, Lisanne. - 2021 BASE Show details 83 Inklusion mit Hilfe digitaler Medien – Die Märchenapp StoryToys‘ Schneewittchen und ihr Potenzial zur Leseförderung in heterogenen Lerngruppen Sahin, Berna. - 2021 BASE Show details 84 Editorial: Perspektiven der Diversitätsforschung auf Literatur, Medien und deren Didaktik Vogel, Tatjana; Delere, Malte. - 2021 BASE Show details 85 Das schwarze Buch der Farben – Sensibilisierung der Sinne für ein inklusives Miteinander Jennert, Pia. - 2021 BASE Show details 86 Geschlechtliche Vielfalt und Transgeschlechtlichkeit in der Kinder- und Jugendliteratur: Die Graphic Novel Nennt mich Nathan von Catherine Castro & Quentin Zuttion Meyer, Liane. - 2021 BASE Show details 87 Saures: Backgrounds machen Leute: Von den Hintergründen und Einblicken in die Identitätskonstruktionen bei Online- Lehre Marci-Boehncke, Gudrun. - 2021 BASE Show details 88 Held*in, „Musterkrüppel“ oder „nur“ behindert? – Eine systematische Analyse zu den Darstellungen von Behinderungen im historischen Vergleich ausgewählter literarischer Werke Jost, Sophie Luisa. - 2021 BASE Show details 89 Revolution - Fortschritt - Evolution ; Revolution, Progress, Evolution. On the conceptual history of the evolutionist semantics of history and of future in German social democracy Deus, Fabian. - : Universität Siegen, 2021. : Germanistisches Seminar, 2021 In: Siegen : universi - Universitätsverlag Siegen, 2021. - ISBN 978-3-96182-116-7 (2021) BASE Show details 90 Der Duden, die Genera und die Geschlechter Wolf, Norbert Richard. - 2021 BASE Show details 91 Vorlesung und Hörsaal als Symptomwörter für Geschichte und Gegenwart der deutschen Sprache Klein, Wolf Peter. - 2021 BASE Show details 92 Was denken linguistische Laien über die (deutsche) Grammatik? Klein, Wolf Peter. - 2021 BASE Show details 93 Öffnung - Schließung - Übertritte ; Körperbilder in der deutschsprachigen Gegenwartsliteratur Meinen, Iris; Lehnert, Nils. - : transcript Verlag, 2021. : Bielefeld, 2021 BASE Show details 94 Satzbaupläne als Zeichen: die semantischen Rollen des Deutschen in Theorie und Praxis Ágel, Vilmos; Höllein, Dagobert. - : De Gruyter, 2021. : Berlin, 2021. : Boston, 2021 BASE Show details 95 Usbekische Personennamen - Etymologie, Grammatik, Pragmatik Abdullaev, Ziyodbek. - 2021 BASE Show details 96 FALKE: Experiences From Transdisciplinary Educational Research by Fourteen Disciplines Lindl, Alfred; Hilbert, Sven; Schilcher, Anita. - : Frontiers Media SA, 2021 BASE Show details 97 Deutsch in der Ukraine. Geschichte, Gegenwart und zukünftige Potentiale Philipp, Hannes; Stangl, Theresa. - : Universitätsbibliothek Regensburg, 2021 BASE Show details 98 Untersuchungen zur Wortgeographie Nordostbayerns - Sprachatlas und dialektometrische Studie zum Einfluss der Konfessionszugehörigkeit auf die Lexik Heyna, Katharina. - 2021 BASE Show details 99 Using Deep Learning for Emotion Analysis of 18th and 19th Century German Plays Dennerlein, Katrin; Wolff, Christian; Schmidt, Thomas. - : Melusina Press, 2021 Abstract: We present first results of the project “Emotions in Drama” in which we explore the annotation of emotions and the application of computational emotion analysis, predominantly deep learning-based methods, in the context of historical German plays of the time around 1800. We performed a pilot annotation study with five plays generating over 6,500 annotations for up to 13 sub-emotions structured in a hierarchical scheme. This emotion scheme includes common types like joy, anger or hate but also concepts that are specifically important for German literary criticism of this period like friendship, compassion or Schadenfreude. We evaluate the performance of various methods of emotion-based text sequence classification including lexicon-based methods, traditional machine learning, fastText as static word embedding, various transformer models based on BERT- or ELECTRA-architectures and pretrained with contemporary language, transformer-based methods pretrained or finetuned for historical and/or poetic language as well as the finetuning of BERT models via our own corpora and plays. We do achieve state-of-the-art results with hierarchical levels with two or three classes, i. e. the classification of valence (positive/negative). The best models are the transformer-based models gbert-large and gelectra-large by deepset pretrained on large corpora of contemporary German, which achieve accuracy values of up to 83%. Lexicon-based methods, traditional machine learning as well as static word embeddings are consistently outperformed by transformer-based models. Models trained on historical texts show small and inconsistent improvements. The performance becomes significantly smaller for settings with multiple sub-emotions like 6 or 13 due to the general challenge and class imbalances in which the models achieve 57% and 47% respectively. We discuss how we intend to continue our annotations and how to improve the prediction results via various optimization techniques in future work. Keyword: 004 Informatik; 400 Sprachwissenschaft; 430 Deutsch; 792 Theater; 800 Literatur; 830 Deutsche Literatur; ddc:004; ddc:400; ddc:430; ddc:792; ddc:800; ddc:830; Linguistik; Literaturwissenschaft; Rhetorik; Tanz URL: https://epub.uni-regensburg.de/50827/ https://epub.uni-regensburg.de/50827/1/vDhd-Beitrag-Schmidt-UsingDeepLearning.pdf https://epub.uni-regensburg.de/50827/7/vDhd-Beitrag-Schmidt-UsingDeepLearning-PublishedVersion_workingLinks.pdf https://www.melusinapress.lu/read/10-26298-melusina-8f8w-y749-udlf/section/8d0fefff-384c-4798-b5d7-032809de2430 BASE Hide details 100 Deutsch in der Ukraine. Geschichte, Gegenwart und zukünftige Potentiale Philipp, Hannes; Stangl, Theresa. - : Universitätsbibliothek Regensburg, 2021 BASE Show details Page: 1 2 3 4 5 6 7 8 9...104

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