Interests

My research focuses on intelligent information retrieval based on analysis of user context. By analyzing the documents that users are reading, such as news articles, I built systems that can augment a user’s current activity with access to potentially useful information. My research explores techniques in document modeling, text clustering and classification, query formulation and automatic knowledge discovery. I also conducted user studies with my systems to investigate human factors of intelligent information access.

Projects

Papers

Using Explicit Semantic Models to Track Situations across News Articles


Learning to Gesture: Applying animations To Spoken Text


Measuring Semantic Similarity between Named Entities by Searching the Web Directory


Between Ontology and Folksonomy: A Study of Collaborative and Implicit Ontology Evolution


Collaborative Reasoning and Collaborative Ontology Development in CRAFT

Compare&Contrast: Using the Web to Discover Comparable Cases for News Stories


What Do They Think? Aggregating Local Views about News Events and Topics


LocalSavvy: Aggregating Local Points of View about News Issues


Categorizing Blogger’s Interests Based on Short Snippets of Blog Posts


Rich Interfaces for Reading News on the Web