[Sigwac] CfP: HLIE08 - Workshop on High-level Information
Extraction ECML PKDD 2008
Sebastian Blohm
blohm at aifb.uni-karlsruhe.de
Fri May 2 10:57:05 CEST 2008
Call for Papers
HLIE08: Workshop on High-level Information Extraction
at ECML PKDD 2008
http://www-ai.cs.tu-dortmund.de/HLIE08
Antwerp, September 19th, 2008
The ECML-08 Workshop on High-level Information Extraction will be held
in conjunction with the European Conference on Machine Learning and
Principles and Practice of Knowledge Discovery in Databases that will
take place September 15 to 19, 2008, in Antwerp, Belgium.
CONTENTS
Information extraction (IE) techniques aim to extract informations from
data sources. IE methods versatilely address naturally arising learning
tasks where the data is generally structured, highly correlated, and
frequently preserve multiple-way dependencies within and between
recurrent structures. By now, "low-level" tasks such as named entity
recognition are well understood, however, solving complex IE tasks --
like relation and event-extraction -- remains a challenge.
In the last years, significant contributions to high-level IE in
relevant fields led to applications that have matured to a point beyond
proof of concept. However, which strategy (e.g., pipeline, structured,
or hybrid) is beneficial for which problems is not yet well understood,
neither from the theoretical nor the practical point of view.
We aim at bringing together an interdisciplinary group of researchers
who are working on high-level information extraction. The goal of this
workshop will be to structure and explore the state of the art, to
evolve high-level IE models with regard to real-world applications, and
to identify future challenges and applications. We intend to cover a
broad range of methods, including pipelined/hybrid approaches and
structured prediction models; in particular we are interested in the
following topics:
# Algorithms:
What are the differences between pipelined and structured methods? Are
there hybrid methods, using the best of the two worlds? Are there novel
algorithms and techniques for solving high-level IE or subproblems thereof?
# Theoretical results:
Are there convergence/generalization bounds for high-level IE
techniques? Is there a characterization of problems for which a direct
solution always exists? How can high-level IE methods be evaluated?
# Pre- and post-processing techniques:
Which high-level IE applications benefit from pre-/post-processing? Can
pre-/post-processing be harmful? Are these techniques independent of the
underlying IE methods? How can pre- and post-processing techniques be
evaluated?
# Applications:
What are novel applications involving high-level IE? Are there
equivalent problems in related areas that can be solved with existing
methods?
For further details and topics of interest, please refer to the website
of the workshop.
IMPORTANT DATES
Paper Submission deadline : June 16th
Notification of acceptance: July 16th
Final paper deadline : August 7th
Workshop : September 19th
PAPER SUBMISSION
We strongly encourage researchers in the fields of machine learning,
statistics, information retrieval, natural language processing,
computational biology, computer vision, and robotics to submit their
work. Authors instructions and style files can be downloaded at
http://www.springer.de/comp/lncs/authors.html. The maximum length for
submissions is 6 pages for abstracts or 12 pages for full papers in this
format.
Papers submitted to HLIE 2008 will normally be reviewed by two referees.
ORGANIZATION
* Sebastian Blohm (University of Karlsruhe)
* Ulf Brefeld (TU Berlin)
* Felix Jungermann (University of Dortmund)
* Roman Yangarber (University of Helsinki)
FURTHER INFORMATION
* Workshop web page: http://www-ai.cs.tu-dortmund.de/HLIE08/index.html
* Conference web page: http://www.ecmlpkdd2008.org/
CONTACT INFORMATION
Felix [dot] Jungermann [at] cs [dot] tu-dortmund [dot] de
Sebastian [dot] Blohm [at] aifb [dot] uni-karlsruhe [dot] de
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