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

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
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
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
Deriu, Jan Milan; Cieliebak, Mark,

2017.

SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answering [paper].

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
Müller, Simon; Huonder, Tobias; Deriu, Jan Milan; Cieliebak, Mark,

2017.

TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision [paper].

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