Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used...
The research described here is part of a larger project with the objective of determining if a writer believes a proposition to be true or false. This task requires a deep underst...
People form consistent impressions of others given surprisingly little information. With the advent of social networks, impressions now may form online rather than in a face-to-fa...
This poster presents a computational analysis of conceptual metaphors in a community of political blogs. Like sentiment analysis or opinion extraction, computational metaphor iden...
Managing privacy of online content is difficult. We present a simple social access control where sharers specify test questions of shared knowledge, such as "what is our scho...
Michael Toomim, Xianhang Zhang, James Fogarty, Nat...
Digital media lowers barriers to entry and has the ability to renegotiate traditional news-making power structures. However, it remains to be seen whether or not the people that u...
"Witkeys" are websites in China that form a rapidly growing web-based knowledge market. A user who posts a task also offers a small fee, and many other users submit thei...
We explore several different document representation models and two query expansion models for the task of recommending blogs to a user in response to a query. Blog relevance rank...
Jaime Arguello, Jonathan L. Elsas, Jamie Callan, J...
An overwhelming number of news articles are available every day via the internet. Unfortunately, it is impossible for us to peruse more than a handful; furthermore it is difficult...
Michael Gamon, Sumit Basu, Dmitriy Belenko, Danyel...
This paper proposes a new algorithm of associated topic extraction, which detects related topics in a collection of blog entries commenting on a specified topic. The main feature ...