[Corpora-List] CfP ICML-2007 Workshop on Challenges and Applications of Grammar Induction

Menno van Zaanen menno at ics.mq.edu.au
Thu Mar 29 04:33:01 CEST 2007


Please accept our apologies for cross-posting

-----------------------------------------------------------------------
Call for participation
ICML-2007 Workshop on
Challenges and Applications of Grammar Induction

In conjunction with the International Conference on Machine Learning,
Oregon State University, June 20 - June 24, 2007
-----------------------------------------------------------------------

Description

Grammar Induction (GI), also known as Grammatical Inference, is about
learning grammars from data. A well-known important application of GI
is natural language learning, but it is applicable in a much broader
sense to the problem of learning structural models from data. The data
typically consists of sequences of discrete events from various domains
(such as text, DNA fragments, primary structure of proteins, sequential
process log-files and musical scores), but can also include trees and
arbitrary graphs (such as metabolic networks and social networks).
Typical models include formal grammars (regular, context-free, context-
sensitive, . . .), and statistical models in related formalisms such as
probabilistic automata, hidden Markov models, probabilistic transducers
or conditional random fields.

The CAGI workshop aims at highlighting current challenges in grammar
induction with a special focus on applicability issues including:
- practical evaluations demonstrating the usefulness of the proposed
techniques,
- novel applications of grammar induction algorithms,
- noise resistant approaches,
- semi-supervised grammar learning,
- learning from partial sequences or streams,
- approximate induction and model optimization,
- experimental assessments illustrating the current limit(s) of the GI
field,
- practical complexity and scalability issues (alphabet size, noise
level, data sparseness, data inconsistency, . . .),
- evaluation of similarity learning algorithms from structured data
(pair-HMM learning, stochastic transducer learning, . . .).


Workshop Format

The workshop will include presentations of peer-reviewed papers. Each
such paper will be assigned 30 minutes, including 10 minutes for
discussion. Each half-day will start with an invited paper for 45
minutes including the discussion. The day will be concluded with an
open panel for discussing the key lessons learned and pointing at
relevant research perspectives.


Submission Information

Prospective authors are invited to email their 8-page papers to
cagi07 at cs.okstate.edu by the due date in PDF format. Formatting
instructions are given by the conference at
http://oregonstate.edu/conferences/icml2007/icml_format_2007.zip.
The workshop will not have a blind review process, and therefore
author names, affiliations, and contact information should appear in
the submission, including postal address, email address, telephone
number, and fax number. Electronic versions of the final papers will
be available on the workshop home page at www.cs.okstate.edu/cagi07/.

Interested participants are also invited to submit 2-page position
papers. These will also be peer-reviewed and appear in the workshop
proceedings. If the workshop schedule allows, short presentations
at the end of the day may be possible as well.

Workshop home page: www.cs.okstate.edu/cagi07/
Submit papers to: cagi07 at cs.okstate.edu


Important Dates

Paper Submission May 7, 2007
Acceptance Notification May 25, 2007
Electronic Proceedings June 15, 2007
Workshop date June 24, 2007


Organizing Committee

Istvan Jonyer, Oklahoma State University, USA
Pierre Dupont, Université catholique de Louvain, Belgium
Tim Oates, University of Maryland Baltimore County, USA
Marc Sebban, Université de Saint-Etienne, France


Program Committee

Pierre Dupont (PC chair), Université catholique de Louvain, Belgium
Pieter Adriaans, Universiteit van Amsterdam, The Netherlands
Vasant Honavar, Iowa State University, USA
Istvan Jonyer, Oklahoma State University, USA
Laurent Miclet, Université de Rennes, France
Tim Oates, University of Maryland Baltimore County, USA
Rajesh Pareck, Iowa State University, USA
Yasubumi Sakakibara, Keio University, Japan
Marc Sebban, Université de Saint-Etienne, France
Menno van Zannen, Macquarie University, Australia
Enrique Vidal, Universidad Politécnica de Valencia, Spain



---------------------------- We must attach some meaning
- Menno van Zaanen - to the words we use
- menno at ics.mq.edu.au - if we are to speak significantly
- www.ics.mq.edu.au/~menno - and not utter mere noise
---------------------------- -Bertrand Russell





More information about the Corpora-archive mailing list