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doi:10.22028/D291-29406
Title: | Incremental Dialogue Act Recognition: Token- vs Chunk-Based Classification |
Author(s): | Ebhotemhen, Eustace Petukhova, Volha Klakow, Dietrich |
Editor(s): | Lacerda, Francisco |
Language: | English |
Title: | Situated interaction : 18th Annual Conference of the International Speech Communication Association |
Startpage: | 889 |
Endpage: | 893 |
Publisher/Platform: | Curran Associates, Inc. |
Year of Publication: | 2018 |
Place of publication: | Red Hook, NY |
Title of the Conference: | Interspeech 2017 |
Place of the conference: | Stockholm, Sweden |
Publikation type: | Conference Paper |
Abstract: | This paper presents a machine learning based approach to incremental dialogue act classification with a focus on the recognition of communicative functions associated with dialogue segments in a multidimensional space, as defined in the ISO 24617-2 dialogue act annotation standard. The main goal is to establish the nature of an increment whose processing will result in a reliable overall system performance. We explore scenarios where increments are tokens or syntactically, semantically or prosodically motivated chunks. Combing local classification with meta-classifiers at a late fusion decision level we obtained state-of-the-art classification performance. Experiments were carried out on manually corrected transcriptions and on potentially erroneous ASR output. Chunk-based classification yields better results on the manual transcriptions, whereas token-based classification shows a more robust performance on the ASR output. It is also demonstrated that layered hierarchical and cascade training procedures result in better classification performance than the single-layered approach based on a joint classification predicting complex class labels. |
DOI of the first publication: | 10.21437/Interspeech.2017-738 |
URL of the first publication: | https://www.isca-speech.org/archive/Interspeech_2017/abstracts/0738.html |
Link to this record: | hdl:20.500.11880/28418 http://dx.doi.org/10.22028/D291-29406 |
ISBN: | 978-1-5108-4876-4 |
Date of registration: | 4-Dec-2019 |
Notes: | volume 2 |
Faculty: | P - Philosophische Fakultät |
Department: | P - Sprachwissenschaft und Sprachtechnologie |
Professorship: | P - Prof. Dr. Dietrich Klakow |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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