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home · events · colloquia · 1998-1999 · 
 

Colloquium - Craven

 
3/29/1999
11:00am-12:00pm
Eaton South

Combining Relational and Statistical Methods for Information Extraction
Carnegie-Mellon University

For many applications, information in text form remains a greatly underutilized resource. In a pair of related projects at CMU, I have been developing new methods that enable information represented in text and hypertext sources to be used as if it were in a structured representation, such as a knowledge base or a database. In the WebKB project we are developing methods for automatically constructing knowledge bases by extracting information from the Web. In the BioKB project, we are developing methods for extracting knowledge-base facts from on-line biomedical text sources, such as MEDLINE.

One focus of my research has been to develop a new learning approach that combines a relational learning algorithm with a statistical text classification method. This algorithm often induces more accurate classifiers than either a purely statistical method or a purely relational one. I will describe this approach and discuss its application to extracting information from both the Web and biomedical abstracts.

Hosted by James Martin.


The Department holds colloquia throughout the Fall and Spring semesters. These colloquia, open to the public, are typically held on Thursday afternoons, but sometimes occur at other times as well. If you would like to receive email notification of upcoming colloquia, subscribe to our Colloquia Mailing List. If you would like to schedule a colloquium, see Colloquium Scheduling.

Sign language interpreters are available upon request. Please contact Stephanie Morris at least five days prior to the colloquium.

 
See also:
Department of Computer Science
College of Engineering and Applied Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
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