Natural Language Processing Group
“We combine foundational research with industrial applications to build new and innovative products and services, while at the same time exploring the necessary ethical and social boundaries.”
Fields of expertise
- Text analytics
- Dialogue systems
- Speech processing
The NLP research team develops technologies for the analysis, understanding and generation of speech and text. We combine methods from linguistics, natural language processing (NLP) and artificial intelligence to enable natural language communication between humans and machines. In our research, we work on topics such as text classification (e.g. sentiment analysis), chatbots/dialogue systems, text summarization, speech-to-text, speaker diarization and natural language generation. The group particularly focuses on Swiss German speech and text processing.
Services
- Insight: keynotes, trainings
- AI consultancy: workshops, expert support, advice, technology assessment
- Research and development: small to large-scale collaborative projects, third party-funded research, student projects, commercially applicable prototypes
Team
Head of Research Group
Projects
As part of the reorganization of the research database, the previous lists of research projects are no longer available. Die Zukunft geht in Richtung Volltextsuche und Filterung, um bestmögliche Suchergebnisse für unsere Besucher:innen zur Verfügung zu stellen.
In the meantime, you can easily find the projects via text search using the following link: «To the new search in the project database»
Publications
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Bühler, Judith; Hartmann, Andrea; Tuggener, Don; Cieliebak, Mark; Baier, Dirk,
2023.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-28901
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Bollinger, Tobias; Deriu, Jan Milan; Vogel, Manfred,
2023.
Text-to-speech pipeline for Swiss German : a comparison [paper].
In:
8th Swiss Text Analytics Conference – SwissText 2023, Neuchâtel, Switzerland, 12-14 June 2023.
arXiv.
Available from: https://doi.org/10.48550/arXiv.2305.19750
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Deriu, Jan; von Däniken, Pius; Tuggener, Don; Cieliebak, Mark,
2023.
Correction of errors in preference ratings from automated metrics for text generation [paper].
In:
Rogers, Anna; Boyd-Graber, Roger; Okazaki, Naoaki, eds.,
Findings of the Association for Computational Linguistics: ACL 2023.
61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, 9-14 July 2023.
Association for Computational Linguistics.
pp. 6456-6474.
Available from: https://doi.org/10.18653/v1/2023.findings-acl.404
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Peñas, Anselmo; Deriu, Jan; Sharma, Rajesh; Valentin, Guilhem; Reyes-Montesinos, Julio,
2023.
Holistic analysis of organised misinformation activity in social networks [paper].
In:
Ceolin, Davide; Caselli, Tommaso; Tulin, Marina, eds.,
Disinformation in Open Online Media.
5th Multidisciplinary International Symposium on Disinformation in Open Online Media, Amsterdam, The Netherlands, 21-22 November 2023.
Cham:
Springer.
pp. 132-143.
Lecture Notes in Computer Science ; 14397.
Available from: https://doi.org/10.1007/978-3-031-47896-3_10
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Belz, Anya; Thomson, Craig; Reiter, Ehud; Cieliebak, Mark; Hürlimann, Manuela; et al.,
2023.
In:
The Fourth Workshop on Insights from Negative Results in NLP.
The Fourth Workshop on Insights from Negative Results in NLP, Dubrovnik, Croatia, 2-6 May 2023.
Association for Computational Linguistics.
pp. 1-10.
Available from: https://doi.org/10.18653/v1/2023.insights-1.1