Knowledge Hub

Title (link)	Authors	Article Description
Car Information Assistant Report	Dr. Francesco Biondi & Brian Taylor	Assistance 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 Systems	Jingcheng Niu and Dr. Gerald Penn	An 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 Systems	Kai 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 Manuals	Elnaz Delpisheh, Dr. Muath Alzghool, Dr. Aijun An, Heidar Davoudi	Researchers 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 Generation	Dr. Sedigheh Mahdavi , Dr. Aijun An, Heidar Davoudi ,Marjan Delpisheh , and Emad Gohari	When 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.