Master’s Thesis Presentation • Artificial Intelligence — Neural Text Generation from Structured and Unstructured Data
Hamidreza Shahidi, Master’s candidate
David R. Cheriton School of Computer Science
Hamidreza Shahidi, Master’s candidate
David R. Cheriton School of Computer Science
Venkateshwaran Balasubramanian, Master’s candidate
David R. Cheriton School of Computer Science
Azin Nazari, Master’s candidate
David R. Cheriton School of Computer Science
In this thesis, we study comparison based problems in a new comparison model called three-way, where a comparison can result in { >, =, < }.
Basit Khurram, Master’s candidate
David R. Cheriton School of Computer Science
Aman Jhunjhunwala, Master’s candidate
David R. Cheriton School of Computer Science
Mohammed Alliheedi, PhD candidate
David R. Cheriton School of Computer Science
The central focus of this thesis is rhetorical moves in biochemistry articles. Kanoksilapatham has provided a descriptive theory of rhetorical moves that extends Swales’ CARS model to the complete biochemistry article. The thesis begins the construction of a computational model of this descriptive theory. Attention is placed on the Methods section of the articles.
Zhong Sheng Hu, Master’s candidate
David R. Cheriton School of Computer Science
Rahul Iyer, Master’s candidate
David R. Cheriton School of Computer Science
Alexander Sachs, Master’s candidate
David R. Cheriton School of Computer Science
Camilo Munoz, Master’s candidate
David R. Cheriton School of Computer Science