Symposium on Machine Learning in Speech and Language Processing

CALL FOR PAPERS

The symposium will be held in Bellevue, Washington on June 27th, 2011. Its goal is to foster communication and collaboration between researchers in these synergistic areas, taking advantage of the nearby locations of ACL-HLT 2011 and ICML 2011. It will bring together members of the Association for Computational Linguistics (http://www.aclweb.org/), the International Speech Communication Association (http://www.isca-speech.org/), and The International Machine Learning Society (http://www.machinelearning.org/).

=== Topics ===

The workshop will feature a series of invited talks and general submissions. Submissions focusing on novel research are solicited and we especially encourage position and review papers addressing topics that are relevant both to Speech, Machine Learning and NLP. These areas include but are not limited to the use of: SVMs, log-linear models, neural networks, kernel methods, discriminative transforms, large margin training, discriminative training, active, semi-supervised & unsupervised training, structured prediction, Bayesian modeling, deep learning , and sparse representations.
Application areas include natural language processing, speech recognition, language modeling, and speaker verification.

=== Paper Submission ===

Prospective authors are invited to submit papers written in English via the symposium website. Style guidelines and further submission information will be available from the website. Each paper will be reviewed by at least two reviewers, and each accepted paper must have at least one registered author.

=== Important Dates ===

* April 22 - Papers due *EXTENDED BY ONE WEEK*!
* May 6 - Notification of acceptance
* May 27 – Deadline for early registration
* June 27 - Workshop

=== Venue, Accommodation and Registration ===

Venue: The Hyatt Regency Hotel in Bellevue, Washington, the site of ICML.

Organizing Committee:

* Hal Daume III, University of Maryland
* Joseph Keshet, TTI-Chicago
* Dan Roth, UIUC
* Geoffrey Zweig, Microsoft