DE eng

Search in the Catalogues and Directories

Hits 1 – 13 of 13

1
Evaluation computergestützter Verfahren der Emotionsklassifikation für deutschsprachige Dramen um 1800 ...
BASE
Show details
2
Evaluation computergestützter Verfahren der Emotionsklassifikation für deutschsprachige Dramen um 1800 ...
BASE
Show details
3
Towards a Corpus of Historical German Plays with Emotion Annotations ...
Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Universität Regensburg, 2021
BASE
Show details
4
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
BASE
Show details
5
Using Deep Learning for Emotion Analysis of 18th and 19th Century German Plays ...
BASE
Show details
6
Using Deep Learning for Emotion Analysis of 18th and 19th Century German Plays
BASE
Show details
7
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
Abstract: We present results of a project on emotion classification on historical German plays of Enlightenment, Storm and Stress, and German Classicism. We have developed a hierarchical annotation scheme consisting of 13 sub-emotions like suffering, love and joy that sum up to 6 main and 2 polarity classes (positive/negative). We have conducted textual annotations on 11 German plays and have acquired over 13,000 emotion annotations by two annotators per play. We have evaluated multiple traditional machine learning approaches as well as transformer-based models pretrained on historical and contemporary language for a single-label text sequence emotion classification for the different emotion categories. The evaluation is carried out on three different instances of the corpus: (1) taking all annotations, (2) filtering overlapping annotations by annotators, (3) applying a heuristic for speech-based analysis. Best results are achieved on the filtered corpus with the best models being large transformer-based models pretrained on contemporary German language. For the polarity classification accuracies of up to 90% are achieved. The accuracies become lower for settings with a higher number of classes, achieving 66% for 13 sub-emotions. Further pretraining of a historical model with a corpus of dramatic texts led to no improvements.
Keyword: 004 Informatik; ddc:004
URL: https://epub.uni-regensburg.de/51576/7/Screenshot%202022-02-03%20091313.jpg
https://epub.uni-regensburg.de/51576/1/Schmidt-Emotion%20Classification%20in%20German-2021.pdf
https://epub.uni-regensburg.de/51576/
BASE
Hide details
8
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
9
Katharsis – A Tool for Computational Drametrics ...
Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - : Universität Regensburg, 2019
BASE
Show details
10
Katharsis – A Tool for Computational Drametrics
BASE
Show details
11
Sentiment Annotation for Lessing’s Plays: Towards a Language Resource for Sentiment Analysis on German Literary Texts
BASE
Show details
12
Katharsis – Ein Werkzeug für die quantitative Dramenanalyse ...
Burghardt, Manuel; Dennerlein, Katrin; Schmidt, Thomas. - : Universität Regensburg, 2016
BASE
Show details
13
Katharsis – Ein Werkzeug für die quantitative Dramenanalyse
BASE
Show details

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
13
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern