Welcome to Mrinmaya's Lab @ ETHZ

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 newly-founded ETH AI center and the Max Planck ETH Center for Learning Systems.

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. Representation learning and reasoning with natural language
  2. Representation learning and reasoning with knowledge graphs
  3. Coreference resolution and Discourse
  4. NLP for long texts
  5. 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 the Rycolab, as well as with our colleagues in the Institute for Machine Learning.

We are always looking for strong and motivated PhD students to join our research group. However, we are quite selective and only have around 1-2 positions every year. (Please read this before sending us an email).!

We are also offering various master thesis projects.

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

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!

7. July 2021

Received project funding for our work from ETH Zurich Research Grants. Thanks!

6. May 2021

4 papers accepted at ACL 2021/Findings of ACL. Congratulations to all the authors!

25. March 2021

Received project funding for our work from SNF. Thanks!

9. Feb 2021

Received project funding for our work from Haslerstiftung. Thanks!

27. November 2020

Mrinmaya is giving a talk the FLI colloquium.

28. October 2020

Mrinmaya is serving as an area chair of the Machine Learning for NLP track at ACL-IJCNLP 2021

24. October 2020

Paper Clustering Contextualized Representations of Text for Unsupervised Syntax Induction is now on arXiv!

... see all News