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1
Effects of Spatial Speech Presentation on Listener Response Strategy for Talker-Identification ...
Uhrig, Stefan; Perkis, Andrew; Möller, Sebastian. - : Technische Universität Berlin, 2022
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2
Wiktionary matcher results for OAEI 2021
Paulheim, Heiko; Portisch, Jan. - : RWTH, 2022
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3
On cross-lingual retrieval with multilingual text encoders
Litschko, Robert; Vulić, Ivan; Ponzetto, Simone Paolo. - : Springer Science + Business Media, 2022
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4
Verbal Idioms: Concrete Nouns in Abstract Contexts ...
Charbonnier, Jean; Wartena, Christian. - : Hochschule Hannover, 2021
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5
Modeling contextual information in neural machine translation
Stojanovski, Dario. - : Ludwig-Maximilians-Universität München, 2021
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6
Embedding mobile learning into everyday life settings
Schneegass, Christina. - : Ludwig-Maximilians-Universität München, 2021
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7
Distributed representations for multilingual language processing
Dufter, Philipp. - : Ludwig-Maximilians-Universität München, 2021
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8
Extending Linear Indexed Grammars ...
Wartena, Christian. - : Association for Computational Linguistics, 2021
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9
Towards a Corpus of Historical German Plays with Emotion Annotations ...
Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Universität Regensburg, 2021
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10
Exploring Online Depression Forums via Text Mining: A Comparison of Reddit and a Curated Online Forum ...
Moßburger, Luis; Wende, Felix; Brinkmann, Kay. - : Universität Regensburg, 2021
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11
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. - : Universität Regensburg, 2021
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12
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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13
Korpuslinguistik in der Rechtswissenschaft. Eine webbasierte Analyseplattform für EuGH-Entscheidungen ...
Mielke, Bettina; Wolff, Christian. - : Universität Regensburg, 2021
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14
Exploring Multimodal Sentiment Analysis in Plays: A Case Study for a Theater Recording of Emilia Galotti ...
Schmidt, Thomas; Wolff, Christian. - : Universität Regensburg, 2021
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15
Lexicon-based Sentiment Analysis in German: Systematic Evaluation of Resources and Preprocessing Techniques ...
Fehle, Jakob; Schmidt, Thomas; Wolff, Christian. - : Universität Regensburg, 2021
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16
Pragmatic Prediction in the Processing of Referring Expressions Containing Scalar Quantifiers ...
Macuch Silva, Vinicius; Franke, Michael. - : Universität Osnabrück, 2021
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17
Program Logic for Weak Memory Concurrency ...
Doko, Marko. - : Technische Universität Kaiserslautern, 2021
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18
Neural Network Learning for Robust Speech Recognition
Qu, Leyuan. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021
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19
Student Performance and Collaboration in Introductory Courses to Theory of Computation ; Studierendenperformance und Kollaboration in Einführungskursen der Theoretischen Informatik
Frede, Christiane. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021
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20
Classifying user information needs in cooking dialogues – an empirical performance evaluation of transformer networks
Abstract: In this master’s thesis, I carry out 3720 machine learning experiments. I want to test how transformer networks perform in a dialogue processing task. Transformer networks are deep neural networks that have first been proposed in 2017 and have since rapidly set new state of the art results on many tasks. To evaluate their performance in dialogue classification, I use two tasks from two datasets. One comes from a dialogue; the other does not. I compare various transformer network’s F1 scores on these two classification tasks. I also look at many different baseline models, from random forest classifiers to long short-term memory networks. A theoretically derived taxonomy will be used to annotate dialogue data with information on dialogue flow. I will show that modelling human conversation is an intricate task and that more features do not necessarily make classification better. Five hypotheses are tested using statistical methods on the output data from the 3720 experiments. Those analyses show that results are very alike for the same machine learning algorithms on the two different tasks. Beyond performance evaluation, the aim is to use transformers to improve user information need classification. These needs I am examining in this study arise during assisted cooking dialogues with a conversational agent. Generally, I can show that transformer networks achieve better classification results than the established baseline models.
Keyword: 004 Informatik; 020 Bibliotheks- und Informationswissenschaft; 320 Politik; 400 Sprachwissenschaft; ddc:004; ddc:020; ddc:320; ddc:400; Linguistik
URL: https://epub.uni-regensburg.de/46308/2/Masterarbeit%20Patrick%20Schwabl.zip
https://epub.uni-regensburg.de/46308/1/Masterarbeit,%20Patrick%20Schwabl.pdf
https://epub.uni-regensburg.de/46308/
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