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
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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
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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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