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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Call-E: Virtual Call Agent
The industrial project partner offers online brokering of loans, mortgages and insurances. The brokering process involves several phone calls of a call agent with a potential client. This is time-consuming and highly repetitive. For this reason, we want to develop a dialogue system which can take over part of the ...
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NLP4TC: Natural Language Processing for Tumor Classification
Entry, discharge, radiology and pathology reports and other clinical documents are a valuable resource to be harvested for precision medicine. They are typically stored in a free text format, only little structure is imposed and terminology is heterogeneous. We will apply natural language processing (NLP), machine ...
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SCAI: Smart Contract Analytics using Artificial Intelligence
In the SCAI project, ZHAW and legartis investigate how content of contracts can automatically be evaluated legally by applying methods from the areas of Natural Language Processing and Deep Learning.
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Libra: A One-Tool Solution for MLD4 Compliance
Compared with earlier regulations, the 4th European Money Laundering Directive (MLD4) imposes rigorously increased requirements. It compels obliged entities to conduct in depth screenings of customers and their associations. The Libra Project aims at providing a one tool solution for meeting MLD4 compliance. The ...
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DeepText: Intelligent Text Analysis with Deep Learning
DeepText develops a software framework to automatically analyse texts in order to extract important information. The framework comprises modern algorithms from the field of machine learning (deep learning) that are better at analyzing texts than traditional approaches. They can for example be used to extract ...
Publications
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Zhang, Yi; Deriu, Jan Milan; Katsogiannis-Meimarakis, George; Kosten, Catherine; Koutrika, Georgia; Stockinger, Kurt,
2024.
ScienceBenchmark : a complex real-world benchmark for evaluating natural language to SQL systems.
Proceedings of the VLDB Endowment.
17(4), pp. 685-698.
Available from: https://doi.org/10.14778/3636218.3636225
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Tuggener, Don; Niehaus, Susanna,
2024.
ERCIM News.
(136), pp. 22-23.
Available from: https://doi.org/10.21256/zhaw-29792
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Paonessa, Claudio; Schraner, Yanick; Deriu, Jan Milan; Hürlimann, Manuela; Vogel, Manfred; Cieliebak, Mark,
2023.
Dialect transfer for Swiss German speech translation.
arXiv.
Available from: https://doi.org/10.48550/arXiv.2310.09088
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Cieliebak, Mark; Drewek, Anna; Jakob Grob, Karin; Kruse, Otto; Mlynchyk, Katsiaryna; Rapp, Christian; Waller, Gregor,
2023.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-2491
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Bühler, Judith; Hartmann, Andrea; Tuggener, Don; Cieliebak, Mark; Baier, Dirk,
2023.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-28901