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 especially interested in multi-modal learning, learning from limited data, and the interpretability and cognitive plausibility of language models.

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 CogniVal interface for word embedding evaluation.
  • Looking for cognitive data sources for NLP? You might find useful corpora here.
  • 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:
Russo, G., Hollenstein, N., Musat, C., Zhang, C. (2020, November). Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation. In Findings of EMNLP.

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.



STF H 322 • Stampfenbachstrasse 114 • 8092 Zurich