Thesis defence

Stephen Askew, Master’s candidate
​David R. Cheriton School of Computer Science

Michael Cormier, PhD candidate
David R. Cheriton School of Computer Science

Edward Zulkoski, PhD candidate
David R. Cheriton School of Computer Science

Yifan Zhang, Master’s candidate
David R. Cheriton School of Computer Science

Junnan Chen, Master’s candidate
David R. Cheriton School of Computer Science

Conversations depend on information from the context. To go beyond one-round conversation, a chatbot must resolve contextual information such as: 1) co-reference resolution, 2) ellipsis resolution, and 3) conjunctive relationship resolution.

There are simply not enough data to avoid these problems by trying to train a sequence-to-sequence model for multi-round conversation similar to that of one-round conversation.

Dallas Fraser, Master’s candidate
David R. Cheriton School of Computer Science

Combining text and mathematics when searching in a corpus with extensive mathematical notation remains an open problem. Recent results for math information retrieval systems on the math and text retrieval task at NTCIR-12, for example, show room for improvement, even though formula retrieval appears to be fairly successful.

Andrew Pham, Master’s candidate
David R. Cheriton School of Computer Science

Modern software development workflows are considerably agile, meaning that the work is broken up into individual stories or pieces that are divvied up among the engineers on a team. Each developer is responsible for a certain number of units of work per two-week sprint and must also manage the backlog to make sure that pending features are correctly prioritized, delegated, and removed if necessary. 

Bryan Muscedere, Master’s candidate
David R. Cheriton School of Computer Science

Amir-Hossein Karimi, Master’s candidate
David R. Cheriton School of Computer Science

Lisa Elkin, Master’s candidate
David R. Cheriton School of Computer Science