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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NLP Community Building - ComBi
SwissNLP would like to take concerted action to better network Swiss players from industry, science and administration in the field of Natural Language Processing (NLP). For this reason various activities are to be carried out until the end of 2025 such as expert group meetings, applied conferences, data ...
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AI4CP: AI for self-organizing Content Platform
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Towards a Voice-Based Chatbot for Language Learners (ChaLL)
We take first steps towards developing ChaLL, a voice-based chatbot that provides language learners with opportunities to practice speaking in both focused and unfocused task-based conversations and receive feedback, free from the time constraints and pressures of the traditional classroom setting. ...
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PRISM: Predicting Radicalization Events in Social Media User Timelines
The PRISM project focuses on detecting radicalization events in Social Media networks. Overall, we are interested in unveiling the mechanics that lead to the event of extremist ideology being transferred and incorporated into a social media user’s world view. Specifically, the proposed project aims to identify ...
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DOSSMA – Detection of Suspicious Social Media Activities
The DOSSMA project will investigate suspicious and malicious behaviour on social media platforms. In a first phase, we will compile an extensive survey report on the areas that are currently being researched, including the respective state-of-the-art, existing solutions and initiatives. This report will serve as a ...
Publications
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Büchi, Matthias,
2020.
Speech recognition component for search-oriented conversational artificial intelligence.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
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Deriu, Jan Milan; Rodrigo, Alvaro; Otegi, Arantxa; Echegoyen, Guillermo; Rosset, Sophie; Agirre, Eneko; Cieliebak, Mark,
2020.
Survey on evaluation methods for dialogue systems.
Artificial Intelligence Review.
54(1), pp. 755-810.
Available from: https://doi.org/10.1007/s10462-020-09866-x
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Cieliebak, Mark; Tuggener, Don; Benites, Fernando, eds.,
2019.
Proceedings of the 4th edition of the Swiss Text Analytics Conference.
SwissText 2019, Winterthur, 18-19 June 2019.
CEUR Workshop Proceedings.
.
Available from: http://ceur-ws.org/Vol-2458/
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Tuggener, Lukas; Amirian, Mohammadreza; Rombach, Katharina; Lörwald, Stefan; Varlet, Anastasia; Westermann, Christian; Stadelmann, Thilo,
2019.
Automated machine learning in practice : state of the art and recent results [paper].
In:
2019 6th Swiss Conference on Data Science (SDS).
6th Swiss Conference on Data Science (SDS), Bern, 14. Juni 2019.
IEEE.
pp. 31-36.
Available from: https://doi.org/10.1109/SDS.2019.00-11
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Schneuwly, Arno; Grubenmann, Ralf; Logean, Séverine Rion; Cieliebak, Mark; Jaggi, Martin,
2019.
Correlating twitter language with community-level health outcomes.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-18986