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
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Speech-to-Text for Swiss German
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Virtual Kids - Virtual characters to improve the quality of child interrogations
If children are questioned in preliminary proceedings about their own experiences or observations relevant to criminal law, it depends decisively on the quality of the questioning whether their statements can be used in criminal proceedings or whether decisions can be made on this basis and appropriate consequences ...
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AuSuM – Automatic Supply Chain Monitoring
The project implements an online service for companies to monitor suppliers for violations of environmental, social, or governance norms. To do so, a vast variety of sources, such as news outlets, is monitored using machine learning and natural language processing with near human-level accuracy. ...
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Pre-Study on Generation of Hockey News
Tamedia would like to develop a software system that automatically generates news articles from hockey game data. ZHAW will explore the different state-of-the-art technologies to evaluate the feasibility of developing a natural language system that generates rich contextual ice hockey game report and, if so, how ...
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Digital communication strategies for the cultural sector in the Lake Constance region
This research project will investigate how a communication strategy for the marketing and communication of the diverse cultural activities and sites in the Lake Constance region could be shaped. For a sustainable strategy development the digitization of the communication, by which also the cultural sector has ...
Publications
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Zhang, Yi; Deriu, Jan Milan; Katsogiannis-Meimarakis, George; Kosten, Catherine; Koutrika, Georgia; Stockinger, Kurt,
2024.
ScienceBenchmark : a complex real-world benchmark for evaluating natural language to SQL systems [paper].
In:
Proceedings of the VLDB Endowment.
50th International Conference on Very Large Data Bases, Guangzhou, China, 25-29 August 2024.
Association for Computing Machinery.
pp. 685-698.
Available from: https://doi.org/10.14778/3636218.3636225
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Tuggener, Don; Niehaus, Susanna,
2024.
ERCIM News.
(136), pp. 22-23.
Available from: https://doi.org/10.21256/zhaw-29792
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Paonessa, Claudio; Schraner, Yanick; Deriu, Jan Milan; Hürlimann, Manuela; Vogel, Manfred; Cieliebak, Mark,
2023.
Dialect transfer for Swiss German speech translation.
arXiv.
Available from: https://doi.org/10.48550/arXiv.2310.09088
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Cieliebak, Mark; Drewek, Anna; Jakob Grob, Karin; Kruse, Otto; Mlynchyk, Katsiaryna; Rapp, Christian; Waller, Gregor,
2023.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-2491
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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