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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...23 Hits 21 – 40 of 442 21 Towards the Analysis of Fan Fictions in German Language: Exploration of a Corpus from the Platform Archive of Our Own Schmidt, Thomas; Grünler, Johanna; Schönwerth, Nicole. - 2021 BASE Show details 22 Exploring Multimodal Sentiment Analysis in Plays: A Case Study for a Theater Recording of Emilia Galotti Schmidt, Thomas; Wolff, Christian. - : CEUR Workshop Proceedings (CEUR-WS.org), 2021 BASE Show details 23 Exploring Online Depression Forums via Text Mining: A Comparison of Reddit and a Curated Online Forum Moßburger, Luis; Wende, Felix; Brinkmann, Kay. - 2021 BASE Show details 24 Entwicklung und Evaluation eines Tools zur lexikonbasierten Sentiment Analysis für die Digital Humanities Dangel, Johanna. - 2021 BASE Show details 25 Comparing Live Sentiment Annotation of Movies via Arduino and a Slider with Textual Annotation of Subtitles Schmidt, Thomas; Engl, Isabella; Halbhuber, David. - : CEUR Workshop Proceedings, 2021 BASE Show details 26 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 27 Lexicon-based Sentiment Analysis in German: Systematic Evaluation of Resources and Preprocessing Techniques Schmidt, Thomas; Wolff, Christian; Fehle, Jakob. - : KONVENS 2021 Organizers, 2021 BASE Show details 28 Emotion Classification in German Plays with Transformer-based Language Models Pretrained on Historical and Contemporary Language Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Association for Computational Linguistics, 2021 BASE Show details 29 Towards a Corpus of Historical German Plays with Emotion Annotations Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Schloss Dagstuhl — Leibniz-Zentrum für Informatik, 2021 BASE Show details 30 Language representations for computational argumentation Lauscher, Anne. - 2021 BASE Show details 31 Is supervised syntactic parsing beneficial for language understanding tasks? An empirical investigation Glavaš, Goran; Vulić, Ivan. - : Association for Computational Linguistics, 2021 BASE Show details 32 Evaluating multilingual text encoders for unsupervised cross-lingual retrieval Litschko, Robert; Vulić, Ivan; Ponzetto, Simone Paolo. - : Springer, 2021 BASE Show details 33 Come hither or go away? Recognising pre-electoral coalition signals in the news Rehbein, Ines; Ponzetto, Simone Paolo; Adendorf, Anna. - : Association for Computational Linguistics, 2021 BASE Show details 34 FANG-COVID: A new large-scale benchmark dataset for fake news detection in German Mattern, Justus; Qiao, Yu; Kerz, Elma. - : Association for Computational Linguistics (ACL), 2021 BASE Show details 35 Training and domain adaptation for supervised text segmentation Glavaš, Goran; Ganesh, Ananya; Somasundaran, Swapna. - : Association for Computational Linguistics, 2021 BASE Show details 36 Matching with transformers in MELT Hertling, Sven; Portisch, Jan; Paulheim, Heiko. - : RWTH Aachen, 2021 BASE Show details 37 Accessible digital documentary heritage : guidelines for the preparation of documentary heritage in accessible formats for persons with disabilities ... Darvishy, Alireza; Manning, Juliet. - : UNESCO, 2020 BASE Show details 38 Konzepte und Guidelines für Applikationen in Cinematic Virtual Reality Rothe, Sylvia. - : Ludwig-Maximilians-Universität München, 2020 BASE Show details 39 Optimised preprocessing for automatic mouth gesture classification ... Brumm, Maren; Grigat, Rolf-Rainer. - : European Language Resources Association (ELRA), 2020 BASE Show details 40 New perspectives on digitalization: Local issues and global impact ... Unkn Unknown. - : Universitätsbibliothek Siegen, 2020 BASE Show details Page: 1 2 3 4 5 6...23

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