Studying language acquisition and human communication through computational modeling, lab experiments and crowd sourcing.
Large-scale text analysis to understand discourse semantics/structures and relating it to psychological and social phenomena.
Development of natural language processing systems for real-world tasks using latest machine learning techniques.
Current Projects
News text analysis for automatic misinformation detection.
Gender gap tracking in Canadian media through Named Entity Recognition and Coreference Analysis
Modeling the meaning of discourse connectives through distributional semantics
Past Projects
Evaluation of classic and neural models of distributional semantics (Work at Indiana University, see our NAACL 2018 paper)
Automated scoring of student answers in tutoring systems (Work at Indiana University in collaboration with Purdue University, USA)
Evaluation of standard schema for annotation of discourse relations (Collaboration between Saarland University, Germany and University of Utrecht, Netherlands)
Application of information theory to production and comprehension of discourse markers (My PhD thesis)
Event detection and coreference analysis in large-scale text corpora (My project during an internship at University of Potsdam, Germany)
Computational modeling of word category acquisition (My Master’s thesis, Collaboration with University of Toronto)
Heuristic search in artificial game players (My Bachelor’s project, Collaboration with University of Alberta)