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1
Evaluation computergestützter Verfahren der Emotionsklassifikation für deutschsprachige Dramen um 1800 ...
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Evaluation computergestützter Verfahren der Emotionsklassifikation für deutschsprachige Dramen um 1800 ...
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3
Towards a Corpus of Historical German Plays with Emotion Annotations ...
Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Universität Regensburg, 2021
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Emotion Classification in German Plays with Transformer-based Language Models Pretrained on Historical and Contemporary Language ...
Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Universität Regensburg, 2021
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5
Using Deep Learning for Emotion Analysis of 18th and 19th Century German Plays ...
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Using Deep Learning for Emotion Analysis of 18th and 19th Century German Plays
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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
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8
Towards a Corpus of Historical German Plays with Emotion Annotations
Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Schloss Dagstuhl — Leibniz-Zentrum für Informatik, 2021
Abstract: In this paper, we present first work-in-progress annotation results of a project investigating computational methods of emotion analysis for historical German plays around 1800. We report on the development of an annotation scheme focussing on the annotation of emotions that are important from a literary studies perspective for this time span as well as on the annotation process we have developed. We annotate emotions expressed or attributed by characters of the plays in the written texts. The scheme consists of 13 hierarchically structured emotion concepts as well as the source (who experiences or attributes the emotion) and target (who or what is the emotion directed towards). We have conducted the annotation of five example plays of our corpus with two annotators per play and report on annotation distributions and agreement statistics. We were able to collect over 6,500 emotion annotations and identified a fair agreement for most concepts around a κ-value of 0.4. We discuss how we plan to improve annotator consistency and continue our work. The results also have implications for similar projects in the context of Digital Humanities.
Keyword: 004 Informatik; 400 Sprachwissenschaft; 430 Deutsch; 800 Literatur; 830 Deutsche Literatur; ddc:004; ddc:400; ddc:430; ddc:800; ddc:830; Linguistik; Literaturwissenschaft; Rhetorik
URL: https://epub.uni-regensburg.de/50815/
https://epub.uni-regensburg.de/50815/1/OASIcs-LDK-2021-9.pdf
https://drops.dagstuhl.de/opus/volltexte/2021/14545/pdf/OASIcs-LDK-2021-9.pdf
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9
Katharsis – A Tool for Computational Drametrics ...
Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - : Universität Regensburg, 2019
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10
Katharsis – A Tool for Computational Drametrics
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11
Sentiment Annotation for Lessing’s Plays: Towards a Language Resource for Sentiment Analysis on German Literary Texts
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Katharsis – Ein Werkzeug für die quantitative Dramenanalyse ...
Burghardt, Manuel; Dennerlein, Katrin; Schmidt, Thomas. - : Universität Regensburg, 2016
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Katharsis – Ein Werkzeug für die quantitative Dramenanalyse
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