CALL FOR WORKSHOP PAPERS
ACL 2003 Post-conference Workshop
Sapporo Convention Center, Sapporo, Japan
July 11-12, 2003
Workshop on "Multilingual Summarization and Question Answering -
Machine Learning and Beyond"
Invited Speakers:
(1) Noriko Kando Library Information Research
National Institute of Informatics (NII)
Japan
(2) Dan Roth Dept. of Computer Sciences
Univ. of Illinois at Urbana-Champaign
USA
Automatic summarization and question answering aim at producing a
concise, condensed representation of the key information content
in an information source for a particular user and task. Interest
in automatic summarization and question answering continues to
grow, motivated by the explosion of on-line information sources
and advances in natural language processing and information
retrieval. In fact, various forms of automatic summarization
and question answering will undoubtedly be indispensable given the
massive information universes that lie ahead in the 21st century.
Summarization and question answering involves the extraction or
generation of text snippets to fulfill some user needs. Rule-based
or statistical-based summarization and QA systems have shown
promising results in the TREC QA tracks, NTCIR QAC, and NIST DUC;
it is, however, very difficult to find good evaluation functions or
rules that work well across domains or in all questions because
there are many system parameters that must be carefully tuned in
order to achieve good system performance. In consequence, various
machine learning (ML) techniques have recently been applied to
summarization and QA systems.
The purpose of this workshop is to provide a forum for exploring the
commonality underling this diversity of problem domain and approaches.
The workshop has the following goals:
- to bring together communities of researchers who apply machine
learning techniques to summarization and QA systems,
- to deepen the summarization and QA community's understanding of
the state of the art in machine learning,
- to identify summarization and QA-related problems for
which ML techniques might be appropriate, and
- to advance the state of the art of summarization and QA
technologies.
Topics appropriate to this workshop include:
- summarization or QA systems with ML techniques,
- novel or improved ML techniques for summarization or QA,
- effective feature extraction methods for characterizing
summarization or QA,
- metrics and benchmarks for evaluating the effect of machine
learning techniques in summarization or QA systems,
- generation for summarization or QA,
- cross-language or multilingual QA,
- integration with Web and IR access,
- corpora creation for summarization or QA,
- interfaces and tools for summarization or QA.
<<FORMAT FOR SUBMISSIONS>>
Submissions are limited to original, unpublished work. Submissions must
use the ACL latex style or Microsoft Word style MSQA-submission.doc
(both available from the here workshop web page). Paper submissions
should consist of a full paper (5000 words or less, exclusive of title
page and references). Papers outside the specified length are subject to
be rejected without review. The paper should be written in English.
<<SUBMISSION QUESTIONS>>
Please send submission questions to Abraham Ittycheriah
(abei@us.ibm.com).
<<SUBMISSION PROCEDURE>>
Electronic submission only: send the pdf (preferred), postscript, or MS
Word form of your submission to: abei@us.ibm.com. The Subject line
should be "ACL2003 WORKSHOP PAPER SUBMISSION". Because reviewing is
blind, no author information is included as part of the paper. An
identification page must be sent in a separate email with the subject
line: "ACL2003 WORKSHOP ID PAGE" and must include title, all authors,
theme area, keywords, word count, and an abstract of no more than 5
lines. Late submissions will not be accepted. Notification of receipt
will be e-mailed to the first author shortly after receipt.
<<DEADLINES>>
Paper submission deadline: Apr 21, 2003
Notification of acceptance for papers: May 19, 2003
Camera ready papers due: May 26, 2003
Workshop date: July 11-12, 2003
<<PROGRAM CHAIRS>>
Abraham Ittycheriah IBM T.J. Watson Research Center, USA
Tsuneaki Kato University of Tokyo, Japan
Chin-Yew Lin USC/ISI, USA
Yutaka Sasaki NTT Communication Science Laboratories, Japan
<<PROGRAM COMMITTEE>>
Regina Barzilay Cornell University, USA
Jason Chang National Tsin-Hua University, Taiwan
Hsin-Hsi Chen National Taiwan University, Taiwan
Jennifer Chu-Carroll IBM T.J. Watson Research Center, USA
Udo Hahn University of Freiburg, Germany
Sanda Harabagiu Univ. of Texas, Dallas, USA
Donna Harman NIST, USA
Ulf Hermjakob USC/ISI, USA
Jerry Hobbs USC/ISI, USA
Inderjeet Mani MITRE Corp. USA
Junichi Fukumoto Ritsumeikan University, Japan
Gary Geunbae Lee Postech, South Korea
Hideki Isozaki NTT Communication Science Laboratories, Japan
Sadao Kurohashi University of Tokyo, Japan
Hang Li Microsoft Research Asia, China
Dekang Lin University of Alberta, Canada
Bernardo Magnini Istituto Trentino di Cultura (ITC)/IRST, Italy
Shigeru Masuyama Toyohashi University of Technology, Japan
Dan Moldovan Univ. of Texas, Dallas, USA
Tatsunori Mori Yokohama National University, Japan
Hwee Tou Ng National University of Singapore, Singapore
Manabu Okumura Tokyo Institute of Technology, Japan
John Prager IBM Research, USA
Drago Radev University of Michigan, USA
Dan Roth University of Illinois at Urbana/Champaign, USA
Satoshi Sekine New York University, USA
Karen Sparck-Jones Cambridge University, UK
Tomek Strzalkowski State University of New York, Albany, USA
Ingrid Zukerman Monash University, Australia
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