[Corpora-List] Final CFP: ACL 2003 Workshop on Multilingual Summarization QA - Machine Learning and Beyond

[Chin-Yew Lin]

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 at us.ibm.com).



<<SUBMISSION PROCEDURE>>

Electronic submission only: send the pdf (preferred), postscript, or MS

Word form of your submission to: abei at 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