We are a research group in the Institute for Machine Learning within the Department of Computer Science at the ETH Zurich. We are also part of the ETH AI center, the Max Planck ETH Center for Learning Systems, the Ellis Society and the ETH Zurich - EPFL Joint Doctoral Program in the Learning Sciences.

We build machine learning models for Natural Language Processing, Knowledge discovery and Reasoning. We also work on problems in the intersection of Natural Language processing and Education.

Our current focus areas include:

  1. NLP for long texts, including Coreference resolution and Discourse
  2. Reasoning with Natural Language for Question Answering and Interactive NLP problems
  3. NLP for Educational applications

We are located in the E floor of the CAB building in the beautiful city of Zurich in Switzerland. We regularly exchange ideas and work with our neighbors in Rycolab and the Zurich-NLP group, as well as with our colleagues in the Institute for Machine Learning.

We are not actively looking for PhD students at this time. However, we are currently offering several master/bachelor thesis projects.

We have an opening for a postdoc in NLP and Educational Technology!

We are grateful for funding from SNF, ETH Research Grants, Haslerstiftung, the ETH AI center and the Max Planck ETH Center for Learning Systems.

News

8. April 2022

5 papers accepted at NAACL 2022 + Findings. Congratulations to all the authors!

24. February 2022

2 papers accepted at ACL 2022 + Findings. Congratulations to all the authors!

20. January 2022

1 paper accepted at ICLR 2022. Congratulations to all the authors!

14. December 2021

Mrinmaya is giving a talk at the MathAIED workshop (NeurIPS 2021)

1. December 2021

1 paper accepted at AAAI 2022. Congratulations to all the authors!

14. September 2021

Mrinmaya is giving a talk at the AI Policy conference

7. September 2021

Received funding for our work on responsible AI from Haslerstiftung. Thanks!

26. August 2021

2 papers accepted at EMNLP 2021 + Findings. Congratulations to all the authors!

22. July 2021

Differentiable subset pruning paper accepted at TACL. Congratulations to all the authors!

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