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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Venzin, Valentin; Deriu, Jan Milan; Didier, Orel; Cieliebak, Mark,
2019.
Fact-aware abstractive text summarization using a pointer-generator network [paper].
In:
4th Swiss Text Analytics Conference (SwissText 2019), Winterthur, June 18-19 2019.
Swisstext.
Available from: https://doi.org/10.21256/zhaw-18988
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Aghaebrahimian, Ahmad; Cieliebak, Mark,
2019.
Hyperparameter tuning for deep learning in natural language processing [paper].
In:
4th Swiss Text Analytics Conference (SwissText 2019), Winterthur, June 18-19 2019.
Swisstext.
Available from: https://doi.org/10.21256/zhaw-18993
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Agirre, Eneko; Otegi, Arantxa; Pradel, Camille; Rosset, Sophie; Peñas, Anselmo; Cieliebak, Mark,
2019.
LIHLITH : learning to interact with humans by lifelong interaction with humans [paper].
In:
SEPLN2019, Bilbao, Spain, September 25-27, 2019.
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Sileo, Damien; Pradel, Camille; Peñas, Anselmo; Echegoyen, Guillermo; Otegi, Arantxa; Deriu, Jan Milan; Cieliebak, Mark; Barrena, Ander; Agirre, Eneko,
2019.
Matching words and knowledge graph entities with meta-embeddings [paper].
In:
Proceedings of CAp2019.
Conference on Machine Learning (CAp), Toulouse, July 3 to 5, 2019.
PFIA.
pp. 34-39.
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Cieliebak, Mark; Benites de Azevedo e Souza, Fernando; Leuschen, Lara; Hnizda, Michaela; Betzler, Diana,
2019.
Methods of NLP in arts management [poster].
In:
8th International Conference on Writing Analytics, Winterthur, 5-6 September 2019.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-18443