17.544 workshop, conference, session

From: Humanist Discussion Group (by way of Willard McCarty willard.mccarty@kcl.ac.uk)
Date: Tue Jan 20 2004 - 02:59:56 EST

               Humanist Discussion Group, Vol. 17, No. 544.
       Centre for Computing in the Humanities, King's College London
                     Submit to: humanist@princeton.edu

   [1] From: Roberto Basili <basili@info.uniroma2.it> (76)
         Subject: CfP: LREC04 Workshop on "Beyond Named Entity
                 Recognition Semantic labelling for NLP tasks"

   [2] From: Laure Vieu <Laure.Vieu@irit.fr> (48)
         Subject: FOIS 2004 Call for Papers

   [3] From: ai_group <ai_group@evolab.ece.nus.edu.sg> (23)
         Subject: CFPs: Evolutionary Scheduling Session in CEC 2004

         Date: Tue, 20 Jan 2004 07:37:15 +0000
         From: Roberto Basili <basili@info.uniroma2.it>
         Subject: CfP: LREC04 Workshop on "Beyond Named Entity Recognition
Semantic labelling for NLP tasks"



              Beyond Named Entity Recognition
                Semantic labelling for NLP tasks
    URL: http://ai-nlp.info.uniroma2.it/ws_lrec04/

                           Centro Cultural de Belem
                                LISBON, Portugal
                                   25th may 2004

In Association with
Main conference 26-27-28 May 2004

Motivation and Aims

Although it is generally assumed that improvements in language processing
will be made through the integration of linguistic information and
statistical techniques, the reality is that language is very diverse and
looking for specific patterns of words that repeat enough to be
statistically significant tends not to be a very fruitful task: sequences
longer than three words are not generally repeated often enough to be
statistically significant. At the same time, the identification of named
entities: Names, dates, places, organizations etc., has proved to be avery
useful preliminary task in many natural language processing systems are
interested in pursuing approaches which extend this notion by identifying
and labeling other semantic information in a text, in such as way as to
allow repeatable semantic patterns to emerge. Our interest is in attacking
the data sparseness problem by exploring ways to collapse (semantically)
related phrases which are expressed by different word sequences.

As this seems closely related to previously proposed class-based language
models (see for example Brown et al. 90 in Computational Linguistics), it
is distinguished because the empirical notion of classes used in the
previous work (e.g. classes made up of collocationally similar words) are
replaced by semantically justified sets.

Notice how Name Entity (NE) tagging and Word Sense Disambiguation (WSD)
represent, in terms of granularity and representational complexity, two
extremes of a single general problem: semantic disambiguation. Semantic
disambiguation serves thus the purpose of improving the generalization
power of statistical models. One of the questions here is how to determine
a suitable level of clustering (for NE identification and for WSD) that
would lead to high accuracy and to performance improvement by obtained
statistical models.

Reason of Interest

It is to be noticed that a set of independent research work focused
recently on the statistical treatment of semantic phenomena (e.g. WordNet
navigation as a stochastic process, as studied in Light and Abney or in
Ciaramita & Johnson) highly correlates with the research program proposed

The workshop will represent a forum where experience from lexical semantics
and statistical learning will be presented and fruitful discussion among
researchers in both fields will be promoted. The workshop is expected to
attract researchers and practitioners from a range of areas as well as
developers of large scale semantic resources who are interested in
effective methods of semantic labeling.

Topics (to be addressed in the workshop include, but are not limited to)

* Methods for lexical - semantic annotation of corpora
* Methods and Standards for lexical semantic representation of dictionary
* Lexico-semantic taxonomies
* Existing sources of classification: dictionaries, thesauri and
computerized ontologies
* Corpus-driven methods for semantic disambiguation
* Feature selection for semantic disambiguation
* Lexico-semantic tagging of very large corpora
* Algorithms and methods for disambiguation of semantic phenomena
* Statistical learning models and their applications to semantic labeling
* Computational learning frameworks for Natural Language Learning
* Semi-supervised and unsupervised statistical semantic disambiguation
* Evaluation of semantic disambiguation

Workshop format

The workshop will be a half-day event with position statements from invited
speakers (half an hour each) with two hours for 4-6 presentations of
scientific papers. Submissions are intended to present works in progress
and more completed works which fall within the scope defined by the topics
listed above. A final 1 hour open discussion among all the workshop
participants will be moderated by the organizers. In order to stimulate an
interesting general discussion each member of the program committee will be
invited to submit a position statement of max. 1000 words.

[material deleted]

         Date: Tue, 20 Jan 2004 07:38:05 +0000
         From: Laure Vieu <Laure.Vieu@irit.fr>
         Subject: FOIS 2004 Call for Papers

                 **** FOIS 2004 CALL FOR PAPERS ****

    International Conference on Formal Ontology in Information Systems

                  November 4-6, 2004, Torino (Italy)

Conference Description
Just as ontology developed over the centuries as part of philosophy, so in
recent years ontology has become intertwined with the development of the
information sciences. Researchers in such areas as artificial intelligence,
formal and computational linguistics, biomedical informatics, conceptual
modeling, knowledge engineering and information retrieval have come to
realize that a solid foundation for their research calls for serious work
in ontology, understood as a general theory of the types of entities and
relations that make up their respective domains of inquiry. In all these
areas, attention has started to focus on the content of information rather
than on just the formats and languages in terms of which information is
represented. The clearest example of this development is provided by the
many initiatives growing up around the project of the Semantic Web. And as
the need for integrating research in these different fields arises, so does
the realization that strong principles for building well-founded ontologies
might provide significant advantages over ad hoc, case-based solutions. The
tools of Formal Ontology address precisely these needs, but a real effort
is required in order to apply such philosophical tools to the domain of
Information Systems. Reciprocally, research in the information science
raises specific ontological questions which call for further philosophical
The purpose of FOIS is to provide a forum for genuine interdisciplinary
exchange in the spirit of a unified ontological analysis effort. Although
the primary focus of the conference is on theoretical issues,
methodological proposals as well as papers dealing with concrete
applications from a well-founded theoretical perspective are welcome.

Invited Speakers
Peter Gärdenfors, Lund University Cognitive Science, Sweden
Amie Thomasson, Department of Philosophy, University of Miami, USA

Deadlines and Further Information
Abstracts: May 3, 2004
Final submissions: May 7, 2004
Acceptance Notification: June 25, 2004
Submission of camera-ready paper: July 30, 2004

Proceedings will be published by IOS Press and available at the conference.

Submission is a two-step procedure: first abstracts, then full papers.
Submitted papers must not exceed 5000 words (including bibliography).
Abstracts should be less than 300 words. Electronic submission via the
website is strongly preferred; if unavailable, submission via email or
postal mail is possible. For details see: http://www.fois.org or contact
one of the program chairs.

[material deleted]

         Date: Tue, 20 Jan 2004 07:38:33 +0000
         From: ai_group <ai_group@evolab.ece.nus.edu.sg>
         Subject: CFPs: Evolutionary Scheduling Session in CEC 2004

***** Evolutionary Scheduling Session in CEC 2004 *****

The 2004 Congress on Evolutionary Computation, co-sponsored by the IEEE
Neural Networks Society, the Evolutionary Programming Society, and the IEE,
will be held in Portland Marriott Downtown, Portland, Oregon, USA, June
19-23, 2004. (http://cec2004.org/home.html).

The Evolutionary Scheduling Session in CEC 2004 will cover all aspects of
evolutionary scheduling and related issues. It hopes to attract a balance
of applied and theoretical papers from across the evolutionary computing
and meta-heuristic research communities. Typical examples of such problems
include rostering, machine scheduling, timetabling, vehicle routing,
resource assignment, planning, etc.

More information regarding the Evolutionary Scheduling Session is available
at http://www.cs.unr.edu/~sushil/cec/. The paper submission schedule is as

Submission of papers: 31 January 2004
Notification of acceptance/rejection: 15 February 2004
Camera-ready paper: 1 March 2004

Format of the paper can be obtained from http://cec2004.org/home.html. All
papers will be peer-reviewed following the same procedure as regular papers
submitted to CEC 2004.

Evolutionary Scheduling Session Co-Organizers:

Prof. Edmund K. Burke
Dr Kay Chen Tan
Dr Graham Kendall

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