ATEM-2004: The AAAI-04 Workshop on Adaptive Text Extraction and Mining

ATEM-2004: The AAAI-04 Workshop on
Adaptive Text Extraction and Mining
July 26, 2004
San Jose, California

Workshop Description

The amount of information that is available in the form of unstructured and semistructured documents keeps increasing at an unprecedented rate. Even though these terabytes of text contain invaluable information for virtually every domain of activity, the existing tools for accessing and exploiting this data fall short of users' needs, thus preventing the effective use of these rich information sources.

Recent years have brought significant interest and progress in developing techniques for the automatic extraction and mining of text corpora. Adaptive text extraction and mining (ATEM) is an extremely active area of research that lies at the intersection of diverse fields such as information extraction, text mining, machine learning, data mining, link analysis, information retrieval, natural language processing, and information integration. As developments in any of these fields have an immediate effect on the other ones, it is crucial to ensure the free exchange of ideas among researchers that work on various aspects of ATEM. The purpose of this workshop is to bring together researchers and practitioners from all these communities, so that they can discuss recent results and open problems.

Topics

The workshop's topics include, but are not limited to, applying machine learning and data mining to:

text extraction and mining
link analysis & relationship discovery within text corpora
data cleaning & record linkage
automated ontology acquisition

Of particular interest are "provoking" papers raising questions such as "is parsing necessary for high-quality information extraction?", "are ontologies really useful for ATEM?", or "is domain-independent ATEM really doable?".

Workshop format

The workshop will consist of two full-paper sessions, a short-paper session, an invited presentation, and a panel discussion on lessons learned and future trends in the field.

Attendance & Submission

The planned workshop attendance is about 30 people. The attendees must submit either a long/short paper (6 and 3 pages, respectively), or a 1-page research statement. The submisions, which must comply with the AAAI-2004 style, will be emailed to the workshop chair as PS/PDF attachements ( the emails must use the subject "ATEM-04 submission").

Important dates:

 Papers due:                   March 12, 2004

 Acceptance notification:      April 16, 2004

 Camera-ready copy due:        May 25, 2004

Organizing Committee:

 Ion Muslea (contact)        
 SRI International  
 (now at Language Weaver, Inc)

 Mark Craven
 6730 Medical Sciences Center
 1300 University Avenue
 Madison, Wisconsin 53706
 phone: (608) 265-6181
 craven  -_AT_-  biostat.wisc.edu
 http://www.biostat.wisc.edu/~craven

 Fabio Ciravegna                   
 Department of Computer Science    
 University of Sheffield           
 Regent Court, 211 Portobello St.  
 Sheffield,  S1 4DP,  U.K.         
 phone: +44(0)114-22.21940         
 F.Ciravegna  -_AT_-  dcs.shef.ac.uk        
 http://www.dcs.shef.ac.uk/~fabio

 Nicholas Kushmerick
 Smart Media Institute
 Computer Science Department
 University College Dublin
 Dublin 4, Ireland
 phone: +353-1-706-2479
 nick  -_AT_-  ucd.ie
 http://www.cs.ucd.ie/staff/nick

 Raymond J. Mooney                 
 Department of Computer Sciences   
 University of Texas at Austin     
 1 University Station C0500        
 Austin, TX 78712-0233   
 phone:  (512) 471-9558            
 mooney  -_AT_-  cs.utexas.edu              
 http://www.cs.utexas.edu/users/mooney

 Ellen Riloff
 School of Computing
 University of Utah
 Salt Lake City, UT 84112-9205
 phone: 801-581-7544
 riloff  -_AT_-  cs.utah.edu
 http://www.cs.utah.edu/~riloff

Additional reviewers:

Un Yong Nahm (pebronia@cs.utexas.edu)
Yuk Wah Wong (ywwong@cs.utexas.edu)
Razvan Bunescu (razvan@cs.utexas.edu)
Mikhail Bilenko (mbilenko@cs.utexas.edu)

Proceedings