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home · events · colloquia · 2007-2008 · 

Colloquium - Riloff

UMC 415

Desiderata for Annotating Data to Train and Evaluate Bootstrapping Algorithms
University of Utah

In this talk I will address a variety of issues surrounding the potential benefits, challenges, and possible pitfalls of annotating data for bootstrapping algorithms. The discussion will focus both on issues associated with the creation of annotated training data as well as issues associated with the creation of annotated evaluation data. In supervised learning scenarios the same types of manual annotations are typically used both for training and evaluation, but this is not necessarily the case for bootstrapping algorithms. I will argue that it may be desirable to adopt different strategies for these cases, and that annotating data for evaluation purposes should be a major focus of manual annotation efforts.

Sponsored by the Computational Language and Education Research Center (CLEAR).
Hosted by Martha Palmer.

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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