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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Wertz, Lukas; Bogojeska, Jasmina; Mirylenka, Katsiaryna; Kuhn, Jonas,
2022.
In:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers).
2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP), online, 20-23 November 2022.
Association for Computational Linguistics.
pp. 366-372.
Available from: https://doi.org/10.21256/zhaw-26577
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Hürlimann, Manuela; Galbier, Jolanda; Cieliebak, Mark,
2022.
Speech-to-text technology for hard-of-hearing people.
ERCIM News.
(130), pp. 15-16.
Available from: https://doi.org/10.21256/zhaw-27071
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Plüss, Michel; Hürlimann, Manuela; Cuny, Marc; Stöckli, Alla; Kapotis, Nikolaos; Hartmann, Julia; Ulasik, Malgorzata Anna; Scheller, Christian; Schraner, Yanick; Jain, Amit; Deriu, Jan Milan; Cieliebak, Mark; Vogel, Manfred,
2022.
SDS-200 : a Swiss German speech to Standard German text corpus [paper].
In:
Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022).
13th Language Resources and Evaluation Conference (LREC), Marseille, France, 20-25 June 2022.
European Language Resources Association.
pp. 3250-3256.
Available from: https://doi.org/10.21256/zhaw-26131
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Deriu, Jan Milan; Tuggener, Don; von Däniken, Pius; Cieliebak, Mark,
2022.
Probing the robustness of trained metrics for conversational dialogue systems [paper].
In:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics.
60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, 22-27 May 2022.
Association for Computational Linguistics.
pp. 750-761.
Available from: https://doi.org/10.18653/v1/2022.acl-short.85
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Mahlow, Cerstin; Ulasik, Malgorzata Anna; Tuggener, Don,
2022.
Reading and Writing.
37(2), pp. 443-482.
Available from: https://doi.org/10.1007/s11145-021-10234-6