I am a Ph.D. student at the University of Edinburgh, advised by Prof. Mark Steedman and Dr. Shay Cohen. I research natural language processing systems, investigating computational models for understanding human language. I mostly work on discourse-related problems such as understanding documents and conversations. My Ph.D. research has focused on building models to detect and reason about entities in text (in particular, coreference resolution).

I completed my M.Sc. in Computer Science at McGill University, where I researched 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

Sentence-Incremental Neural Coreference Resolution
Matt Grenander, Shay B. Cohen, Mark Steedman
EMNLP 2022
[Code]

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