LINGUIST List 15.694

Wed Feb 25 2004

Calls: Computational Ling; Computational Ling/USA

Editor for this issue: Andrea Berez <andrealinguistlist.org>

Directory

1. Veit Reuer vreuer, eLearning for Computational Linguistics and Computational Linguistics for eLearning
2. kozerenko, Natural Language Engineering for Machine Translation and Knowledge Management Systems

eLearning for Computational Linguistics and Computational Linguistics
for eLearning

Geneva, Switzerland
28-Aug-2004 - 28-Aug-2004

Meeting URL: http://www.cogsci.uos.de/~vreuer/ws_elearning_cl/
Contact Name: Lothar Lemnitzer
Contact Email: lotharsfs.uni-tuebingen.de

Linguistic Subfield: Applied Linguistics, Computational Linguistics

Call Deadline: 15-Apr-2004

Meeting Description:

This workshop focuses on the relation between Computational
Linguistics and eLearning. In two sessions, the role of eLearning in
the field of Computational Linguistics and the contribution of
language technology to the further development of eLearning
environments shall be discussed.

Call for Papers:

This workshop focuses on the relation between Computational
Linguistics and eLearning within two sessions.

1. eLearning for Computational Linguistics

With the SOCRATES thematic network project ''Advanced computing in the
Humanities'' the need for information technologies, and, in
particular, eLearning in the humanities, including CL, has been
identified. The survey which has been launched revealed the interest
in high-quality teaching material and (distance) courses. On the
occasion of a conference and a workshop, both held 1998 and 1999
resp., first results were presented in the form of project
notes. Furthermore, didactic issues which concern (distance) teaching
and learning of computational linguistics and language technology were
raised.

In the meanwhile, various projects have provided high-quality teaching
material and (distance) courses for various disciplines of
Computational Linguistics, like ELSNET and MiLCA.

This part of the workshop should give practioners in the field the
opportunity
* to share didactic experience of eTeaching CL, 
* to identify and to disseminate good practice models and resources, 
* to share novel approaches to eLearning in CL, and 
* to discuss curricular issues.

2. Computational Linguistics for eLearning

In the context of computer-mediated distance learning, language
technology can help to enhance the accessibility of online teaching
material and the adaptivity of learning management systems.
* In the context of computer mediated communication, language
technology can be applied for, e.g, summarization of discussion
threads and support of discourse coherence in synchronous CMC
* In the context of accessibility and usability of online teaching
material, language technology can be applied for, e.g.,
 - matching of semantic representations of learning modules on the
one hand and the prospective user's knowledge of the topic on the
other hand;
 - facilitation of access to learning material by more flexible and
sophisticated search methods;
 - improvement of retrieval by supplying metadata for learning
objects on a (semi)-automatic basis;
 - adaptive components which adjust the system to particular users,
e.g adaptation of learning management systems for disabled persons,
taking into account their special needs.

With this part of the workshop, we want to further address the role
which language technology plays in the development of intelligent
platforms for eLearning. We want to particularly encourage submissions
by scholars and software developers who present implemented and
working eLearning systems in which language technology supplies a
crucial part of the implemented solution.

The entire workshop constitutes an informal forum for researchers and
teachers to discuss the various issues, to create networks of common
interests and to launch new initiatives in the area of eLearning.

We invite papers and project notes on the various topics concerned
with eLearning for CL and CL for eLearning.

Important Dates
---------------

Deadline for papers and project notes: 15 April 2004
Notification of acceptance: 15 May 2004
Deadline for a camera-ready copy of the paper: 15 June 2004
Workshop: 28 August 2004

Format for submission of papers
-------------------------------

The expected length for full papers will be around 8 pages including
abstract, references and notes. The expected length for project notes
will be 5 pages maximum. We also inform potential authors that their
contributions will be published in the workshop proceedings within
COLING'04 and, therefore, the papers selected for publication will
have to adhere to COLING edition rules. More details about this will
be made available by COLING in due course, check
http://www.issco.unige.ch/coling2004/coling2004downloads.html or the
COLING homepage for details.


Submission procedure
--------------------

 papers should be sent to: lotharsfs.uni-tuebingen.de. The
papershould be attached in PDF format accompanied by separate authors'
information. The heading on the email should read ''Coling Workshop
paper submission''. Notification of acceptance or rejection will be
sent to the originating email address.

Language
--------

All papers must be written and presented in English

Workshop organization
---------------------

For the workshop to take place, the COLING 2004 organizers require at
least 20 participants to register for the workshop. Speakers and
participants are therefore asked to register via the official COLING
2004 site as soon as possible.

Natural Language Engineering for Machine Translation and Knowledge
Management Systems

Short Title: LEL 

Date: 21-Jun-2004 - 24-Jun-2004
Location: Las Vegas, Nevada, United States of America
Contact: Elena Kozerenko
Contact Email: kozerenkomail.ru 
Meeting URL: http://www.keywen.com/1 

Linguistic Sub-field: Computational Linguistics 

Call Deadline: 10-Mar-2004 

Meeting Description:

The technical session �EurooeNatural Language Engineering for Machine
Translation and Knowledge Management Systems�Euro
(http://www.keywen.com/1)is part of the MLMTA'04 Conference (Machine
Learning, Models, Technologies, Applications -2004). The MLMTA'04
Conference is included into the International Multiconference in
Computer Science and Computer Engineering (18 sumultaneous conferences
which are yearly organized by the CSREA: Computer Science Research,
Education and Advanced Technologies Association). The official
Multiconference site can be found at
http://www.world-academy-of-science.org/IMCSE2004

The scope of the technical session is centered around but not limited
to the topics given below:
*LEARNING METHODS IN NATURAL LANGUAGE AND SPEECH PROCESSING;
*MACHINE TRANSLATION;
*ALGORITHMS OF MORPHOLOGICAL AND SYNTACTIC ANALYSIS OF NATURAL
LANGUAGES;
*WORD CLASSES ESTABLISHMENT AND PART-OF SPEECH TAGGING FOR TEXT
CORPORA;
*PARSING WITH CONTEXT-FREE GRAMMARS, UNIFICATION GRAMMARS, ETC.;
*LEXICALIZED AND PROBABILISTIC PARSING;
*MEANING REPRESENTATION, SEMANTIC ANALYSIS;
*WORD SENSE DISAMBIGUATION AND INFORMATION RETRIEVAL;
*REFERENCE RESOLUTION;
*NATURAL LANGUAGE GENERATION;
*BAYESIAN METHODS IN NATURAL LANGUAGE PROCESSING;
*NEURAL NETWORKS FOR LANGUAGE STRUCTURES RECOGNITION.

March, 10, 2004 draft papers due
March 22, 2004: Notification of acceptance
April 21, 2004: Camera-Ready papers & Prereg. due
June 21-24, 2004: 2004 Int'l Multiconference in CS & CE

The draft papers (about 4-5 pages) for the technical session are due
by MARCH, 10; and are to be sent by e-mail to Chair of the technical
session

Dr. Elena B. Kozerenko kozerenkomail.ru
Institute for Informatics Problems of the Russian Academy
of Sciences, 117333 Moscow, Vavilova Str., 44/2, Russia

The conference proceedings will be published by CSREA Press (ISBN) in
hardcopy.


The first page of the draft paper should include for each author: 
title of the paper,
name,
affiliation,
postal address, 
E-mail address, 
telephone number, & Fax number.
the name of the author who will be presenting the paper (if accepted)
5 keywords (maximum) 

The length of the Camera-Ready papers (if accepted) will be limited to
7 (IEEE style) pages. Papers must not have been previously published
or currently submitted for publication elsewhere.

EVALUATION PROCESS:

Papers will be evaluated for originality, significance, clarity, and
soundness. Each paper will be refereed by two researchers in the
topical area. The Camera-Ready papers will be reviewed by one person.

PUBLICATION:

The conference proceedings will be published by CSREA Press (ISBN) in
hardcopy. The proceedings will be available at the conference. Some
accepted papers will also be considered for journal publication (soon
after the conference). All conference proceedings published by CSREA
Press are considered for inclusion in major database indexes that are
designed to provide easy access to the current literature of the
sciences (database examples: ISI Thomson Scientific, IEE INSPEC, DBLP,
...).

The MLMTA'04 Conference is part of the International Multiconference
in Computer Science and Computer Engineering (18 sumultaneous
conferences which are yearly organized by the CSREA: Computer Science
Research, Education and Advanced Technologies Association).

The official Multiconference site can be found at
http://www.world-academy-of-science.org/IMCSE2004

LOCATION OF CONFERENCES:

The conferences will be held in the Monte Carlo Resort hotel, Las
Vegas, Nevada, USA (with any overflows at other near-by hotels). The
Monte Carlo Resort is a mega hotel with excellent conference
facilities & over 3,000 rooms. The hotel is minutes from the airport
with 24-hour shuttle service to & from the airport. This hotel has
many recreational attractions, including: waterfalls, spa, pools &
kiddie pools, sunning decks, Easy River water ride, wave pool with
cascades, lighted tennis courts, health spa (with workout equipment,
whirlpool, sauna, ...), arcade virtual reality game rooms, nightly
shows, snack bars, a number of restaurants, shopping area, bars, Many
of these attractions are open 24 hours a day & most are suitable for
families & children. The negotiated room rate for conference attendees
is very reasonable. The hotel is within walking distance from most
other attractions (major shopping areas, recreational destinations,
fine dining & night clubs, free street shows, ...).

MULTICONFERENCE CONTACT:

H. R. Arabnia, PhD
General Chair, The 2004 International Multiconference in
Computer Science and Computer Engineering (IMCSE2004)
The University of Georgia
Department of Computer Science
415 Graduate Studies Research Center
Athens, Georgia 30602-7404, U.S.A.

Tel: (706) 542-3480
Fax: (706) 542-2966
E-mail: hracs.uga.edu

EXHIBITION:

An exhibition is being planned. Interested parties should contact
Chair of the Multiconference Prof. H. R. Arabnia (hracs.uga.edu). All
exhibitors will be considered to be the co-sponsors of the conference.

SCOPE OF MLMTA'04:
Conference on Machine Learning; Models, Technologies and Applications

O Artificial Neural Networks and Learning
O Fuzzy Logic + Fusion and Learning
O Information Retrieval and Data Mining
O Inductive Learning and Applications
O Knowledge Representation and Management
O Knowledge Acquisition and Discovery Techniques
O Evolutionary Algorithms and Bayesian-Based Methodologies
O Reinforcement Learning Methods
O Grammatical Inference
O Learning Models
O Multi-Agent Learning
O Cognitive Modeling
O Hybrid Techniques + Hierarchical Learning Models
O Collaborative Filtering
O Case-Based Reasoning
O Semantic Indexing
O Natural Language Processing
O Machine Translation
O Markov Decision Processes (including Semi-Markov DM)
O ODE Methods and Machine Learning
O Multi-Criteria Reinforcement Learning
O Temporal Abstractions
O Relational Learning Models
O Computational Needs of Learning Models
O Formal Learning Methods
O Graph-Based Learning
O Theory Refinement Methodologies
O Probabilistic Reasoning
O Decision Trees
O Learning Based on Adaptive Techniques
O Learning Topological Maps
O Verification Models
O Mobile Robotics
O Learning in Planning
O Query Learning and Active Learning
O Memory-Based Learning
O Instance-Based Learning and Self-Adaptation Techniques
O Requirements Models
O Transformation-Based Learning
O Simulated Annealing and Learning
O Life-Long Learning and Learning by Examples
O Q-Learning
O Predictive Learning Models
O Text Categorization and Classification
O Machine Learning Applications (Medicine, Games, Biology,
Industrial Applications, Robotics, Security, ...)