M.S. in CS
Department of Computer Science
aperelyg at stanford dot edu
I received my masters in Computer Science at Stanford University, concentrating in AI. I did my undergrad in Simon Fraser University in Burnaby, British Columbia, jointly in Mathematics and Computing Science.
I worked on an attempt to apply deep learning to transition-based dependency parsing
We tackled the problem of sentiment analysis with a model aimed at building up a semantic representation of sentences recursively through their parse trees. This appraoch used deep learning to generate these vector-space semantic representations and then classify them into sentiment categories. We used a newly-created sentiment treebank with fine grained annotation of all parse-tree nodes of a movie reviews data set to train our model, which was then able to classify sentiment at all nodes of the parse tree. More information, including a live demo, can be found here.
I worked with the Transformative Learning Technologies Laboratory on both vision and natural language analysis of student learning patterns in design. I worked on identifying key characteristics and comparative evaluation of progressive hand-drawn designs, and then later upon assessing student achievement in introductory programming courses (Stanford's CS106A in particular) through analysis of the natural language within the comments of the source code.