Natural Language Processing Group | ZHAW School of Engineering

“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.”

Professor Dr Mark Clieliebak

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

Prof. Dr. Mark Cieliebak

+41 (0) 58 934 72 39
mark.cieliebak@zhaw.ch

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

Wertz, Lukas; Bogojeska, Jasmina; Mirylenka, Katsiaryna; Kuhn, Jonas,

2022.

Evaluating pre-trained Sentence-BERT with class embeddings in active learning for multi-label text classification [paper].

In:

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers).

2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP), online, 20-23 November 2022.

Association for Computational Linguistics.

pp. 366-372.

Available from: https://doi.org/10.21256/zhaw-26577
Hürlimann, Manuela; Galbier, Jolanda; Cieliebak, Mark,

2022.

Speech-to-text technology for hard-of-hearing people.

ERCIM News.

(130), pp. 15-16.

Available from: https://doi.org/10.21256/zhaw-27071
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,

2022.

SDS-200 : a Swiss German speech to Standard German text corpus [paper].

In:

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.

pp. 3250-3256.

Available from: https://doi.org/10.21256/zhaw-26131
Deriu, Jan Milan; Tuggener, Don; von Däniken, Pius; Cieliebak, Mark,

2022.

Probing the robustness of trained metrics for conversational dialogue systems [paper].

In:

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.

pp. 750-761.

Available from: https://doi.org/10.18653/v1/2022.acl-short.85
Mahlow, Cerstin; Ulasik, Malgorzata Anna; Tuggener, Don,

2022.

Extraction of transforming sequences and sentence histories from writing process data : a first step towards linguistic modeling of writing.

Reading and Writing.

37(2), pp. 443-482.

Available from: https://doi.org/10.1007/s11145-021-10234-6