About me

Hi, I’m Akari Asai (浅井明里). [CV]
I am a second-year Ph.D. student in the Natural Language Processing group at Paul G. Allen School of Computer Science & Engineering, University of Washington. I am fortunate to be advised by Hannaneh Hajishirzi. Prior to UW, I received B.E. in Electrical Engineering and Computer Science from The University of Tokyo, Japan.

My primary research interests lie in Natural Language Processing, and I’m particularily interested in Question Answering (QA). I have been also working on Computer Vision and Machine Learning, with a focus on uncertainty in deep learning models’ predictions.

I interned in Salesforce Research (Summer 2019, Research Intern), Microsoft Research Lab Asia (MSRA) (Winter 2018, Research Intern), Google Search (Summer 2016, Engineering Intern), Google Chrome (Summer 2017, Engineering Intern) and Megagon Labs (Recruit Institute of Technology) (Spring 2017, Research Intern).


  • 2020.9: One long paper and one system demonstration paper on learning contextualized / static entity representations from Wikipedia have been accepted to EMNLP 2020.
  • 2020.4: Our paper on logic guided regularization and data augmentation for consistent question answering has been accepted to ACL 2020.
  • 2019.12: Our paper on open-domain QA has been accepted to ICLR 2020.
  • 2019.9: Started my Ph.D. at the University of Washington :)