Mohammad Javad Hosseini

I am a researcher at Google, London, working on Natural Language Processing. My research interest is to use Machine Learning methods for Natural Language Processing (especially, semantics). I did my PhD (2020) in the Institute for Language, Cognition and Computation (ILCC) at the University of Edinburgh under the supervision of Mark Steedman (Principal) and Shay Cohen. During my PhD, I was also closely working with Mark Johnson. My thesis was about learning entailment graphs to obtain form-independent semantics. The entailment graphs can be used for other tasks such as Knowledge Base Completion and Question Answering.

Before that (2013-2016), I was a PhD student at the Computer Sci & Engineering Department of University of Washington (moved to Edinburgh due to family reasons). I worked under the supervision of Su-In Lee on learning Gaussian graphical models with structured sparsity and structured prediction methods for learning multi-word expressions and supersenses (joint work with Noah Smith). I also worked under the supervision of Oren Etzioni and Hanna Hajishirzi on solving 4th grade arithmetic word problems.

I got my BSc (1st rank) in Computer Software Engineering from Sharif University of Technology in 2010 and got my MSc degree in the same department in 2012 under the supervision of Dr. Hamid Beigy .