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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Deriu, Jan Milan; Cieliebak, Mark,
2018.
Syntactic manipulation for generating more diverse and interesting texts [paper].
In:
Proceedings of the 11th International Conference on Natural Language Generation.
11th International Conference on Natural Language Generation (INLG 2018), Tilburg, The Netherlands, 5-8 November 2018.
Association for Computational Linguistics.
pp. 22-34.
Available from: https://doi.org/10.21256/zhaw-4875
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Benites de Azevedo e Souza, Fernando; Grubenmann, Ralf; von Däniken, Pius; von Grünigen, Dirk; Deriu, Jan Milan; Cieliebak, Mark,
2018.
Twist Bytes : German dialect identification with data mining optimization [paper].
In:
Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2018).
27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, August 20-26, 2018.
VarDial.
pp. 218-227.
Available from: https://doi.org/10.21256/zhaw-4850
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von Däniken, Pius; Grubenmann, Ralf; Cieliebak, Mark,
2018.
Word unigram weighing for author profiling at PAN 2018 : notebook for PAN at CLEF 2018 [poster].
In:
CLEF 2018 Evaluation Labs and Workshop – Working Notes Papers (PAN).
Conference and Labs of the Evaluation Forum (CLEF 2018), Avignon, France, 10-14 September 2018.
Available from: http://ceur-ws.org/Vol-2125/paper_135.pdf
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Cieliebak, Mark; Deriu, Jan Milan; Egger, Dominic; Uzdilli, Fatih,
2017.
A Twitter corpus and benchmark resources for german sentiment analysis [paper].
In:
5th International Workshop on Natural Language Processing for Social Media, Boston MA, USA, 11 December 2017.
Association for Computational Linguistics.
pp. 45-51.
Available from: https://doi.org/10.18653/v1/W17-1106
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Kodiyan, Don; Hardegger, Florin; Neuhaus, Stephan; Cieliebak, Mark,
2017.
Author profiling with bidirectional RNNs using attention with GRUs : notebook for PAN at CLEF 2017 [paper].
In:
CLEF 2017 Evaluation Labs and Workshop – Working Notes Papers.
CLEF 2017 Conference and Labs of the Evaluation Forum, Dublin, Ireland, 11-14 September 2017.
RWTH Aachen.
Available from: https://doi.org/10.21256/zhaw-1531