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.”
- 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.
- 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
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 ...
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 ...
Speech-to-Text for Swiss German
Virtual Kids - Virtual characters to improve the quality of child interrogations
If children are questioned in preliminary proceedings about their own experiences or observations relevant to criminal law, it depends decisively on the quality of the questioning whether their statements can be used in criminal proceedings or whether decisions can be made on this basis and appropriate consequences ...
AuSuM – Automatic Supply Chain Monitoring
The project implements an online service for companies to monitor suppliers for violations of environmental, social, or governance norms. To do so, a vast variety of sources, such as news outlets, is monitored using machine learning and natural language processing with near human-level accuracy. ...
von Däniken, Pius; Deriu, Jan Milan; Agirre, Eneko; Brunner, Ursin; Cieliebak, Mark; Stockinger, Kurt,
5th International Conference on Natural Language and Speech Processing (ICNLSP), online, 16-17 December 2022.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-26147
Plüss, Michel; Hürlimann, Manuela; Cuny, Marc; Stöckli, Alla; Kapotis, Nikolaos; Hartmann, Julia; Ulasik, Malgorzata Anna; Scheller, Christian; Schraner, Yanick; Jain, Amit; Deriu, Jan Milan; Cieliebak, Mark; Vogel, Manfred,
Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022).
13th Language Resources and Evaluation Conference (LREC), Marseille, France, 20-25 June 2022.
European Language Resources Association.
Available from: https://doi.org/10.21256/zhaw-26131
Deriu, Jan Milan; Tuggener, Don; von Däniken, Pius; Cieliebak, Mark,
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics.
60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, 22-27 May 2022.
Association for Computational Linguistics.
Available from: https://doi.org/10.18653/v1/2022.acl-short.85
Mahlow, Cerstin; Ulasik, Malgorzata Anna; Tuggener, Don,
Reading and Writing.
Available from: https://doi.org/10.1007/s11145-021-10234-6
Benites, Fernando; Tuggener, Don; Hürlimann, Manuela; Cieliebak, Mark; Vogel, Manfred, eds.,
Swiss Text Analytics Conference – SwissText 2021, Online, 14-16 June 2021.
CEUR Workshop Proceedings.
Available from: http://ceur-ws.org/Vol-2957/