Knowledge Hub

Title (link)AuthorsArticle Description
Car Information Assistant ReportDr. Francesco Biondi & Brian TaylorAssistance systems and automated vehicle technology lowers the chances of accidents, but is also equally important to have a proper understanding of how these systems function
Rationally Reappraising ATIS-based Dialogue SystemsJingcheng Niu and Dr. Gerald PennAn article that discusses Air Travel Information Service corpus, a system that has been used for evaluating Spoken Language Understanding for a really long time. 
Deep Language-based Critiquing for Recommender Systems    Dr. Ga Wu, Kai Luo, Dr. Scott Sanner, Harold Soh Critiquing is a method for conversational recommendation that responds to user preference feedback. Read more about it here! 
Latent Linear Critiquing for Conversational Recommender SystemsKai Luo, Dr. Scott Sanner, Hanze Li, Dr. Ga Wu, Hojin Yang   Researchers from UofT “build on an existing state-of-the-art linear embedding recommendation algorithm to align review-based keyphrase attributes with user preference embeddings.”
Context-Aware Question and Answer Generation from Car ManualsElnaz Delpisheh, Dr. Muath Alzghool, Dr. Aijun An, Heidar DavoudiResearchers discusses frameworks for automatically generating questions and answers from text documents, which is the goal/purpose of most interactive intelligent assistant systems. 
Question-Worthy Sentence Selection for Question GenerationDr. Sedigheh Mahdavi , Dr. Aijun An, Heidar Davoudi ,Marjan Delpisheh , and Emad GohariWhen generating questions from text paragraphs, you may think it’s good to focus on the entire paragraph when it’s actually only a handful of sentences that are useful for generating questions. Read more here.

Award Wining Technologies

TU Automotive Awards
Voice Summit Awards 2019