About me

I am a PhD candidate at DS3Lab at ETH Zurich with a background in Natural Language Processing (NLP). After an MSc in Artificial Intelligence from the University of Edinburgh, I worked at IBM for a few years on various IBM Watson projects in Germany and Switzerland.

The focus of my research lies in enhancing NLP applications with cognitive data such as eye-tracking and brain activity recordings. My long-term goal is to reduce the amount of manual annotation work for training machine learning systems for NLP by passively supervising these systems with human language processing data. I am interested in multi-modal learning and learning from limited data.

Research Activities

Here's a short overview of my current research activities:

  • Zurich Cognitive Language Processing Corpus 2.0 of eye-tracking and EEG data now available here!
  • Try out our new interface for CogniVal. Feedback welcome!
  • CogniVal, the framework for cognitive word embedding evaluation was accepted at CoNLL!
  • Check out the WIRED article about our work using eye-tracking for NLP.
  • We always have open master thesis projects at DS3Lab. Contact me if interested!

Publications & Teaching

Most recent paper:
Hollenstein, N., de la Torre, A., Langer, N., & Zhang, C. (2019, November). CogniVal: A Framework for Cognitive Word Embedding Evaluation. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL).

I am currently teaching Language Technology & Human Cognition as a guest lecturer at the Institute for Computational Linguistics, University of Zurich.
Previously, I taught the course Ontology Learning at the Institute for Computational Linguistics, University of Zurich. I also was a teaching assitant for Information Retrieval at ETH Zurich.



CAB E 61.2 • Universit√§tstrasse 6 • 8092 Zurich