KDD-2000 Workshop on Text Mining
August 20, 2000
Sixth ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining, August 20-23, 2000, Boston, MA, USA
Call for papers (expired)
on the following topics was open till May 15, 2000.
We received 40 submissions that entered the review process.
The list of pre-registered workshop attendees contains about 80 names.
and the list of accepted papers
are available on the Web as well as the
(to appera in SIGKDD Explorations, January 2001).
Topics of interest
The objective of this workshop is to enable presentation and
exchange of ideas on various aspects of Text Mining.
Our desire is to facilitate communication among researchers
and practitioners from related and complementary
research areas, who are working on similar problems
but with possibly different focus and problem solving approaches.
More precisely, we invite papers from the four areas:
Particular topics of interest for the workshop include
but are not limited to:
- Text Mining (or Text Learning) (TM)
- Information Retrieval (IR)
- Natural Language Processing (NLP)
- Information Extraction (IE).
- text mining & information retrieval
- text mining & natural language processing
- text mining & web mining
- text representation
- text categorization
- text segmentation
- information extraction
- scalability of developed approaches
- performance evaluation measures
- feature selection
- multilingual approaches to text mining
- influence of domain and domain specific text mining
- innovative applications of text mining.
The workshop consists of two invited talks,
presentation of refereed papers and posters,
We hope that the program will stimulate future
collaboration among researchers on text mining problems.
- 8:45am - 8:55am Opening
- 8:55am - 9:25am Invited talk by Ronen Feldman:
"Text Mining: Opportunities and Challenges"
- 9:25am - 10:15am Papers Ia: Information Extraction and Text Mining
(session intro. + 3 papers - 12 mins each)
- 10:15am - 10:35am Coffee Break
- 10:35am - 11:05am Papers Ib:
Text categorization methods using machine learning
(2 papers - 12 mins each)
- 11:05am - 11:40am Papers IIa:
Text Mining applications: Mining time-tagged text
(session intro. + 2 papers - 12 mins each)
- 11:40am - 12:00pm Poster Session I
(session intro. + 8 posters - 1 min each)
- 12:00pm - 1:00pm Lunch Break
- 1:00pm - 1:30pm Invited talk by David Lewis:
"ATTICS: A Toolkit for Text Classification and Text Mining"
- 1:30pm - 2:30pm Papers IIb:
Text Mining applications: Finding themes/topics in text, Mining e-mail data
(4 papers - 12 mins each)
- 2:30pm - 2:45pm Poster Session II
(7 posters - 1 min each)
- 2:45pm - 3:30pm Posters on the boards
- 3:30pm - 4:00pm Discussion and closing
J.Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
J.Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia and
Carnegie Mellon University, School of Computer Science,
Pittsburgh, USA, 5000 Forbes Ave, Pittsburgh, PA 15213, USA
Microsoft Research Ltd, St. George House, 1 Guildhall Street
Cambridge, CB2 3NH, United Kingdom
Helena Ahonen,University of Helsinki, Helsinki, Finland
Simon Corston-Oliver, Microsoft Research, Redmond, WA
Mark Craven, University of Wisconsin, Madison, Wisconsin
Walter Daelemans, University of Antwerp, Antwerpen, Belgium
Susan Dumais, Microsoft Research, Redmond, WA
David Elworthy, Microsoft Research Ltd, Cambridge, UK
Ronen Feldman, Instinct Software, Israel
Marko Grobelnik, J.Stefan Institute, Ljubljana, Slovenia
Thorsten Joachims, Universitaet Dortmund, Dortmund, Germany
Rosie Jones, Carnegie Mellon University, Pittsburgh, PA
Natasa Milic-Frayling, Microsoft Research Ltd, Cambridge, UK
Dunja Mladenic, J.Stefan Institute, Ljubljana, Slovenia
Jason Rennie, Massachusetts Institute of Technology, MA
Stephen Robertson, Microsoft Research Ltd, Cambridge, UK
Sean Slattery, Carnegie Mellon University, Pittsburgh, PA
Ian Witten, University of Waikato, Hamilton, New Zealand
This Workshop is partially supported by the
European FP5 project
"Data Mining and Decision Support for Business Competitiveness: A European