Corpora: CFP (Extended): PKDD'2000 Workshop "MACHINE LEARNING AND TEXTUAL INFORMATION ACCESS"
Hugo Zaragoza
Hugo.Zaragoza at lip6.fr
Wed Jun 21 15:06:52 UTC 2000
2nd Call for Papers
EXTENDED SUBMISSION DEADLINE : 10th of July 2000.
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PKDD'2000 Workshop :
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MACHINE LEARNING AND TEXTUAL INFORMATION ACCESS
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September 12, 2000.
Lyon, France.
Preceding the Fourth European Conference on Principles and
Practices of Knowledge Discovery in Databases (PKDD'2000).
PKDD'200 : http://eric.univ-lyon2.fr/~pkdd2000/
WORKSHOP : http://www-connex.lip6.fr/mltia2000.htlm
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CALL FOR PAPERS
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DESCRIPTION:
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Until recently, the exploitation of large textual collections was
mainly limited to sorting and retrieving documents. On the other
hand, systems capable of extracting meaningful document fragments
dealt only with small domain dependent tasks and models.
On-line information is becoming widely available and utilized, and
demand for tools capable of harnessing this information increases
rapidly. As this information is inherently structured and complex,
classic models are insufficient. New technological challenges arise,
the solution of which require the cooperation of several research
domains.
By the term "Textual Information Access" we denote here an emerging
interdisciplinary community of researchers from different fields
sharing an interest on textual data objects, and Machine or
Statistical Learning techniques to develop automatic text analysis
systems.
Among the new important challenges we will mention the need for
automatically parametrizable systems (since hand-crafted models cannot
cope with the heterogeneous nature of data and tasks), the exploitation
of new structure formalisms for documents and collections (e.g. XML),
the relations between textual and not textual data, and more generally
the emerging text-mining and web-mining tasks. In order to solve these
challenges, a combined approach is needed, exploiting technologies from
different domains.
TOPICS OF RELEVANCE:
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Textual Information Access models and applications relating to:
Information Retrieval and Filtering
Information Extraction
Multi-media Information Access
Knowledge Acquisition
Topic Detection and Tracking
Text Summarization
Representation techniques of:
Textual Information
Structure
Semantics
User-feedback models and applications
User-modeling models and applications
Clustering methods and applications
Large corpus, scalability and performance issues
Evaluation techniques
SOLICITED CONTRIBUTIONS
-----------------------
Long papers (up to 12 pages), reporting original completed
research, development activities, original state of the art
surveys, etc.
Short papers (from 4 to 6 pages), reporting ongoing research,
promising new approaches, position papers.
All papers will be peer reviewed. Accepted papers will presented
during the Workshop and will appear in the Workshop Proceedings.
ORGANIZING COMMITTEE
--------------------
Jean-Cédric Chappelier, EPFL, Switzerland,
Robert Gaizauskas, University of Sheffield, UK,
Patrick Gallinari, LIP6, Université de Paris 6, France,
Thorsten Joachims, Universitaet Dortmun, Germany,
Martin Rajman, EPFL, Switzerland,
Hugo Zaragoza, Université de Paris 6, France (Chairman).
SUBMISSION
----------
Submissions should include a short abstract (200 words) and
comply with
the following format: A4, 1 column, 2.5cm margins, Times New
Roman
12point
font, single spacing. Postscript is preferred but other standard
formats
will be accepted (Word, latex, etc.)
Submissions should be done electronically by e-mail to Hugo
Zaragoza
(Hugo.Zaragoza at lip6.fr), indicating in the subject: MLTIA'2000.
Please notify to us your intention to submit as soon as possible.
IMPORTANT DATES
---------------
!!! July 10th 2000 : Deadline for electronic submission of all
papers.
August 1st 2000 : Notification of acceptance.
August 15th 2000 : Deadline for electronic submission of
camera-ready paper.
Contact Details
---------------
For more information, please contact:
Hugo Zaragoza
LIP6, Université Pierre et Marie Curie (Paris 6)
4, place Jussieu #169
75252 Paris Cedex 05
France.
Tel: 33 1 44 27 74 91
Fax: 33 1 44 27 70 00
Email: Hugo.Zaragoza at lip6.fr
--
Hugo Zaragoza.
Machine Learning Group Tel: (33/0) 1 44277491
LIP6, Univeristé de Paris 6 Fax: (33/0) 1 44277000
Paris (France) Hugo.Zaragoza at lip6.fr
http://www-poleia.lip6.fr/~zaragoza
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LIP6 / UPMC, Boite 169 / 4, pl.Jussieu / 75252 Paris Cedex 05
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