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.

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. Information extraction and coreference resolution
  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, Haslerstiftung and the ETH AI center.

News

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!

22. October 2020

Paper Stronger Transformers for Neural Multi-Hop Question Generation is now on arXiv!

2. December 2020

Paper Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines accepted at AAAI 2021!

1. October 2020

Heartiest welcome to Shehzaad, Yifan, Sankalan and Shridhar to the group.

1. July 2020

Paper Knowledge Graph Embedding Compression published at ACL 2020!

... see all News