ACL-95 WVLC3 - Supervised Training vs Self-organizing Methods

David Yarowsky yarowsky at unagi.cis.upenn.edu
Thu Jun 8 16:27:33 EDT 1995


Keywords: Corpora, Self-Organization, Statistical Models, Unsupervised Learning


         THE THIRD WORKSHOP ON VERY LARGE CORPORA
         -----------------------------------------
  
                   Friday, 30 June 1995
                     8:45 AM - 5:25 PM
             MIT, Cambridge, Massachusetts, USA
                  at ACL-95 (June 26-29)

          (Sponsored by ACL's SIGDAT and SIGNLL)

The workshop will present original research in corpus-based and
statistical natural language processing. Topics will include
sense disambiguation, grammar induction, part-of-speech tagging,
information retrieval, language modeling, and machine translation.
This year's theme is:

       Supervised Training vs. Self-organizing Methods

Historically, annotated corpora have made a significant contribution
to tasks such as part-of-speech tagging and sense disambiguation.
But annotated corpora are expensive and generally unavailable for
languages other than English.  Self-organizing methods offer the hope
that annotated corpora might not be necessary. Can we achieve comparable
performance using little or no tagged training data? What are the tradeoffs?

Organizers:  Ken Church and David Yarowsky

Industrial Sponsor:  LEXIS-NEXIS, Division of Reed and Elsevier, Plc.

REGISTRATION: Registration fees are $40 for payment received by
15 June 1995 and $45 at the door. Registration includes a copy of 
the proceedings, catered lunch and refreshments during the day.  
Acceptable forms of payment are US$ cheques payable to "ACL" or 
credit card (VISA/Mastercard) payment.  E-mail registrations are 
encouraged. Please submit the following form along with payment:

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Please send to:

  David Yarowsky
  Dept. of Computer and Information Science
  University of Pennsylvania
  200 S. 33rd St.
  Philadelphia, PA 19104-6389  USA
  email: yarowsky at unagi.cis.upenn.edu

============================================================================

                          PRELIMINARY PROGRAM 

 8:15 - 8:45   Registration. Coffee, danish, etc. available

 8:45 - 8:50   Welcome

 8:50 - 9:35   INVITED TALK  (Mark Liberman) 

 9:35 - 9:50   Break

 9:50 - 10:15  Eric Brill
       Unsupervised Learning of Disambiguation Rules for Part of Speech Tagging

10:15 - 10:40  Carl de Marcken
       Lexical Heads, Phrase Structure and the Induction of Grammar

10:40 - 11:05  Michael Collins and James Brooks
       Prepositional Phrase Attachment through a Backed-off Model

11:05 - 11:15  Break

11:15 - 11:40  Andrew Golding
       A Bayesian Hybrid Method for Context-sensitive Spelling Correction

11:40 - 12:05  Philip Resnik
       Disambiguating Noun Groupings with Respect to Wordnet Senses

12:05 - 1:05   CATERED LUNCH

 1:05 - 1:30   Dekai Wu
       Trainable Coarse Bilingual Grammars for Parallel Text Bracketing

 1:30 - 1:55   Lance Ramshaw and Mitch Marcus
       Text Chunking using Transformation-Based Learning

 1:55 - 2:05   Break

 2:05 - 3:00   INVITED TALK (Henry Kucera and Nelson Francis)  

 3:00 - 3:10   Break

 3:10 - 3:35   Fernando Pereira, Yoram Singer and Naftali Tishby
       Beyond Word N-Grams

 3:35 - 4:00   Jing-Shin Chang, Yi-Chung Lin and Keh-Yih Su
       Automatic Construction of a Chinese Electronic Dictionary

 4:00 - 4:10   Break

 4:10 - 4:35   Kenneth Church and William Gale
       Inverse Document Frequency (IDF): A Measure of Deviations from Poisson
 
 4:35 - 5:00   Joe Zhou and Pete Dapkus
       Automatic Suggestion of Significant Terms for a Predefined Topic

 5:00 - 5:25   Ellen Riloff and Jay Shoen
       Automatically Acquiring Conceptual Patterns without an Annotated Corpus

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More Information:    http://www.cis.upenn.edu/~yarowsky/wvlc3.html
ACL-95 Homepage:     http://www.ai.mit.edu/people/cgdemarc/acl/acl-info.html





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