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
Unfortunately, no list of projects can be displayed here at the moment. Until the list is available again, the project search on the ZHAW homepage can be used.
Publications
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Sugisaki, Kyoko; Tuggener, Don,
2018.
German compound splitting using the compound productivity of morphemes [paper].
In:
Barbaresi, Adrien; Biber, Hanno; Neubarth, Friedrich; Osswald, Rainer, eds.,
14th Conference on Natural Language Processing - KONVENS 2018.
14th Conference on Natural Language Processing (KONVENS 2018), Vienna, Austria, 19-21 September 2018.
Austrian Academy of Sciences Press.
pp. 141-147.
Available from: https://doi.org/10.21256/zhaw-4974
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Agirre, Eneko; Marchand, Sarah; Rosset, Sophie; Peñas, Anselmo; Cieliebak, Mark,
2018.
LIHLITH : improving communication skills of robots through lifelong learning.
ERCIM News.
2018(114), pp. 12.
Available from: https://ercim-news.ercim.eu/images/stories/EN114/EN114-web.pdf
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Benites de Azevedo e Souza, Fernando; Duivesteijn, Gilbert; von Däniken, Pius; Cieliebak, Mark,
2018.
Merging haystacks to find matching needles : a transliteration approach [poster].
In:
SwissText 2018: 3rd Swiss Text Analytics Conference, Winterthur, 12.-13. Juni 2018.
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Grubenmann, Ralf; Tuggener, Don; von Däniken, Pius; Deriu, Jan Milan; Cieliebak, Mark,
2018.
SB-CH : a Swiss German corpus with sentiment annotations [poster].
In:
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018.
11th Edition of the Language Resources and Evaluation Conference (LREC 2018), Miyazaki, 7-12 May 2018.
European Language Resources Association.
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von Grünigen, Dirk; Grubenmann, Ralf; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Cieliebak, Mark,
2018.
In:
Proceedings of the GermEval 2018 Workshop : 14th Conference on Natural Language Processing - KONVENS 2018.
14th Conference on Natural Language Processing (KONVENS 2018), Vienna, Austria, 19-21 September 2018.
ÖAW Austrian Academy of Sciences.
pp. 130-137.
Available from: https://www.oeaw.ac.at/fileadmin/subsites/academiaecorpora/PDF/GermEval2018_Proceedings.pdf