| |
| HOME |
| RESEARCH |
| PUBLICATIONS |
| PEOPLE |
| CORPORA |
| SYSTEMS |
| CONTACT |
| OVERVIEW |
| The center is dedicated to
developing accurate and robust techniques for extracting and
summarizing information about events and beliefs from
free text. The goals of our research effort are threefold. (1) We will create easily trainable learning algorithms that can automatically create domain-specific patterns to identify facts and relations associated with relevant events, such as infectious disease outbreaks. (2) We will develop trainable learning algorithms that can distinguish factual assertions from subjective (non-factual) assertions, identify beliefs that are held by an entity, and assess the intensity, polarity, and motivation and attitude types of those beliefs. (3) We will create methods for understanding event and belief progressions over time. CERATOPS is a University Affiliate Center (UAC) to the Discrete Sciences Institute
(fact sheet). The project
is funded by the Department of Homeland Security as part of the UAC
program to fund basic research and education, and to foster research
collaborations among universities and the National Laboratories. |
|
NEWS Story
by Pascale Santi in the Sciences section of Le
Monde More... |