Knowledge Hub

AuthorsTitle (links)Article Description
Dr. Francesco Biondi & Brian TaylorCar Information Assistant ReportAssistance 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
Jingcheng Niu and Dr. Gerald Penn Rationally Reappraising ATIS-based Dialogue SystemsAn article that discusses Air Travel Information Service corpus, a system that has been used for evaluating Spoken Language Understanding for a really long time. 
Dr. Ga Wu, Kai Luo, Dr. Scott Sanner, Harold Soh     Deep Language-based Critiquing for Recommender SystemsCritiquing is a method for conversational recommendation that responds to user preference feedback. Read more about it here! 
Kai Luo, Dr. Scott Sanner, Hanze Li, Dr. Ga Wu, Hojin Yang   Latent Linear Critiquing for Conversational Recommender SystemsResearchers from UofT “build on an existing state-of-the-art linear embedding recommendation algorithm to align review-based keyphrase attributes with user preference embeddings.”
Elnaz Delpisheh, Dr. Muath Alzghool, Dr. Aijun An, Heidar DavoudiContext-Aware Question and Answer Generation from Car ManualsResearchers discusses frameworks for automatically generating questions and answers from text documents, which is the goal/purpose of most interactive intelligent assistant systems. 
Dr. Sedigheh Mahdavi , Dr. Aijun An, Heidar Davoudi ,Marjan Delpisheh , and Emad GohariQuestion-Worthy Sentence Selection for Question GenerationWhen 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