* * * C A L L F O R P A P E R S * * *
WORKSHOP ON ADAPTIVE TEXT EXTRACTION AND MINING (ATEM-03)
(plus introductory TUTORIAL)
at the 14th European Conference on Machine Learning (ECML)
and 7th European Conference on Principles and Practice of Knowledge
Discovery in Databases (PKDD)
22 September 2003 [tentative]
Cavtat-Dubrovnik (Croatia)
Important facts:
- submission due: 13 June 2003
- Web page: www.dcs.shef.ac.uk/~fabio/ATEM03
MOTIVATION
----------
Vast quantities of valuable knowledge are embedded in unstructured textual
formats. Petabytes of text are currently available on the public Web, in
intranets and other private repositories, and on our personal desktop
machines. In many cases, the only way to access such documents is through
blunt instruments such as keyword-based document retrieval. In recent years,
there has been significant research (and considerable commercial interest)
in technologies for automatically extracting and mining useful structured
knowledge from unstructured text. Current trends suggest a movement away
from pure natural language processing approaches requiring the manual
development of rules, to a shallower, less knowledge intensive techniques
based on techniques from machine learning, information retrieval and data
mining.
Adaptive text extraction and mining is an enabling technology with a wide
variety of applications. On the Web, automated knowledge capture from text
would open the way for both better retrieval, and advanced business
applications (e.g. B2B/B2C applications mediated by knowledge-aware agents).
For knowledge management, capturing the knowledge contained in a companys
repositories would encourage knowledge to be shares and reused among
employees, improving efficiency and competitiveness. Extracting information
from texts is an important step in capturing knowledge, e.g. for populating
databases or ontologies, supporting document annotation (e.g. for the
Semantic Web), for learning ontologies, etc.
THE WORKSHOP
------------
The workshop will bring together researchers and practitioners from
different communities (e.g. machine learning, text mining, natural language
processing, information extraction, information retrieval, ontology
learning) to discuss recent results and trends in mining texts for knowledge
capture. Members of other communities (e.g. information integration and data
mining) could find the workshop very interesting as well. Previous workshops
on the use of machine learning for information extraction were held at
AAAI-1998, ECAI-2000, and IJCAI-2001.
AREAS OF INTEREST
-----------------
Areas of interest for the workshop include (but are not limited to):
* machine learning and natural language
* learning to annotate documents
* ontology learning
* information retrieval and learning
* information integration from textual and multimedia resources
* relevant aspects of human-computer interaction
and semi-supervised learning
SUBMISSION DETAILS
------------------
ATEM-2003 will accept two types of submissions: long papers that describe
completed research (maximum 8 pages); and short papers that describe ongoing
work or challenging ideas (maximum 4 pages). The most interesting papers
presented at the workshop will be considered for a special issue of a
scientific journal. Manuscripts should be formatted for A4 paper, and must
be submitted in either PDF or Postscript format. Send submissions to
"f.ciravegna [at] dcs.shef.ac.uk" with the subject "ATEM submission".
IMPORTANT DATES
---------------
Please note the following deadlines:
- Paper submission deadline: Friday 13 June 2003
- Paper acceptance notification: Friday 4 July 2003
- Paper camera-ready deadline: Friday 11 July 2003
- Workshop date: Monday 22 September 2003 [tentative]
JOINT TUTORIAL
--------------
Researchers who are interested but not yet involved in adaptive text
extraction and mining are encouraged to attend the tutorial "Information
Extraction from Web Documents" at ECML-2003. This introductory tutorial has
been organized by the workshop chairs to complement the research focus of
ATEM-2003.
SPONSORSHIP
-----------
The workshop will be partly funded by a grant from the European Project
"dot.kom".
ORGANIZERS
----------
* Fabio Ciravegna (University of Sheffield) [co-chair]
f.ciravegna [at] dcs.shef.ac.uk (contact point)
* Nicholas Kushmerick (University College Dublin) [co-chair]
nick [at] ucd.ie
PROGRAMME COMMITTE
------------------
* Valter Crescenzi (Universita di Roma Tre)
* Dayne Freitag (Fair, Isaac & Company)
* Ion Muslea (University of California, Irvine)
* Hwee Tou Ng (National University of Singapore)
* Mark Stevenson (University of Sheffield)
* Roman Yangarber (New York University)
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