I am a postdoctoral fellow at Carnegie Mellon University, working with Prof. Tom Mitchell. My research interests are natural language processing and machine learning. I completed my Ph.D. in the Department of Computer Science at Cornell University in 2015, advised by Prof. Claire Cardie. I received my B.S. and M.S. degrees in Computer Science from Peking University.
This semester I am co-teaching a course Conversational Machine Learning at CMU.
The theme of my research has been developing effective machine learning models for semantic structure extraction from natural language text. My Ph.D. thesis develops methods and systems for automatic extraction of opinions and events from text documents, enabling machines to access and analyze information otherwise unavailable, for example, knowing who did what to whom and who has opinions about what.
Currently, I am working on the NELL project at CMU, developing new methods for automatic knowledge base construction from large text datasets and methods for improving machine reading using background knowledge.
Topics I am excited about:
Natural Language Processing: Information Extraction, Automatic Knowledge Base Construction, Sentiment Analysis, Question Answering, Summarization
Machine Learning: Deep Learning, Probabilistic Graphical Models, Bayesian Nonparametrics, Active Learning
Data Mining: Mining Sequences and Graphs