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; Lucchi, Aurelien; De Luca, Valeria; Severyn, Aliaksei; Müller, Simone; Cieliebak, Mark; Hofmann, Thomas; Jaggi, Martin,
2017.
Leveraging large amounts of weakly supervised data for multi-language sentiment classification [paper].
In:
Proceedings of the 26th International Conference on World Wide Web.
26th International World Wide Web Conference Committee (IW3C2), Perth, Australia, 3-7 April 2017.
Association for Computing Machinery.
pp. 1045-1052.
Available from: https://doi.org/10.1145/3038912.3052611
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von Grünigen, Dirk; Weilenmann, Martin; Deriu, Jan Milan; Cieliebak, Mark,
2017.
Potential and limitations of cross-domain sentiment classification [paper].
In:
Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media.
Fifth International Workshop on Natural Language Processing for Social Media, Valencia, Spain, 3-7 April 2017.
Stroudsburg:
Association for Computational Linguistics.
pp. 17-24.
Available from: https://doi.org/10.18653/v1/W17-1103
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Falkner, Nicole; Dolce, Stefano; von Däniken, Pius; Cieliebak, Mark,
2017.
Swiss chocolate at CAp 2017 NER challenge : partially annotated data and transfer learning [paper].
In:
19th Conference sur l'Apprentissage Automatique, Grenoble, 28-30 June 2017.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-1532
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Deriu, Jan Milan; Cieliebak, Mark,
2017.
In:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017).
SemEval 2017 - International Workshop on Semantic Evaluation, Vancouver, Canada, 3-4 August 2017.
Association for Computational Linguistics.
pp. 334-338.
Available from: https://doi.org/10.18653/v1/S17-2054
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Müller, Simon; Huonder, Tobias; Deriu, Jan Milan; Cieliebak, Mark,
2017.
In:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017).
11th International Workshop on Semantic Evaluation, Vancouver, Canada, 3-4 August 2017.
Association for Computational Linguistics.
pp. 766-771.
Available from: https://doi.org/10.21256/zhaw-1529