LAMA-WeST Lab

Artificial Intelligence
Natural language processing
Semantic web

Analysis of Disciplinary Literacy with Natural Language Processing and Deep Learning Methods

Student: Jean-Philippe Corbeil

Supervisor: Amal Zouaq

Co-supervisor(s): Michel Gagnon

Disciplinary Literacy is defined in the educational literature as the mastery of a discipline language and ways of thinking. The best way to learn a discipline or to assess someone expertise in a discipline is by analyzing is disciplinary literacy. Yet, in natural language processing, it is still not clear how to define it. What are the features of disciplinary literacy in natural language processing? Can we use recent methods from deep learning like attention mechanisms and language models to represent it? These are the questions that I am looking to answer during my doctorate studies.