I am a Ph.D. student at the University of Edinburgh, advised by Prof. Mark Steedman and Dr. Shay Cohen. I conduct research in natural language processing, developing computational models for understanding and responding to human language. I mostly work on problems related to discourse, such as creating models for understanding documents or conversations. My Ph.D. research has focused on extracting and reasoning about entities in text. (for example, coreference resolution).

I completed my M.Sc. in Computer Science at McGill University, where my research explored text summarization systems. I was supervised by Prof. Jackie C. K. Cheung and Dr. Annie Louis. I also interned at Korbit, where I designed methods for providing personalized feedback in intelligent tutor systems.

Publications

Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems
Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian V. Serban, François St-Hilaire, Jackie C. K. Cheung
EAAI 2021
[PDF]

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Matt Grenander*, Yue Dong*, Jackie C. K. Cheung, Annie Louis
EMNLP-IJCNLP 2019
[Code] [PDF]

Academic History

Sept. 2020 - present	Ph.D. in Informatics at the University of Edinburgh Supervisors: Prof. Mark Steedman and Dr. Shay Cohen
Jan. 2020 - Sept. 2020	Machine Learning / NLP Research Internship at Korbit
2017 - 2020	M.Sc. in Computer Science at McGill University Supervisors: Prof. Jackie C. K. Cheung and Dr. Annie Louis
2013 - 2017	B.Sc. (Honours) in Mathematics and Computer Science at McGill University