I am a PhD. student in the Department of Computer Science at Purdue University. My research interests are in the areas of Natural Language Processing and Machine Learning. Particularly in highly structured problems that require complex inferences. My work focuses on combining deep learning and graphical models to work in these highly structured settings. I am currently working with Professor Dan Goldwasser as part of the Purdue NLP Group.
DRaiL: a Step Towards Declarative Deep Relational Learning
Xiao Zhang*, Maria Leonor Pacheco*, Chang Li, Dan Goldwasser.
Adapting Event Embedding for Implicit Discourse Relations
Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady, Pranjal Daga, Di Jin, Ayush Parolia, Dan Goldwasser
Dept. of CS, Purdue University 2015-08-17 — 2016-12-21
- Bridge to Computer Science Program (Summer 2016)
- CS180: Problem Solving and Object Oriented Programming (Fall 2015, Spring 2016, Summer 2016, Fall 2016)
Predictvia 2013-11-01 — 2015-07-30
Design, implementation and optimization of the prediction engine for Seenatra, a machine learning powered application for digital marketing.