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home · events · colloquia · 2005-2006 · 

Colloquium - Marcus


Automatically Parsing English -- At Last ...
Mitchell P. Marcus
University of Pennsylvania
Mitchell Marcus photo

For over a decade, computational linguists have competed aggressively to see who could build the best performing parser for English, using ever-improving statistical machine learning methods. Most of these parsers trained and tested against the Penn Treebank, a corpus of syntactic annotation developed by the speaker, yet none until recently attempted to recover the full structure of the annotated corpus. Unfortunately, the syntactic structures ignored are crucial for standard views on how semantic structure is decoded from syntax.

This talk will review why this gap occurred, and describe a full Treebank parser constructed recently at the University of Pennsylvania. This parser recovers both the semantic and syntactic function tags included in the Treebank, as well as recovering all significant null elements (including both passive and WH-traces) in the original annotation. It demonstrates that a sensitivity to linguistic issues, combined with well-understood current machine-learning methods, yields state-of-the-art performance.

This talk describes joint work with Ryan Gabbard and Seth Kulick.

Sponsored by the Institute of Cognitive Science.

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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