LINGUIST List 14.138

Wed Jan 15 2003

Calls: Language Sciences/Multilingual Summarization

Editor for this issue: Karolina Owczarzak <>

As a matter of policy, LINGUIST discourages the use of abbreviations or acronyms in conference announcements unless they are explained in the text.


  1. kei, Japanese Society for Language Sciences, Japan
  2. Priscilla Rasmussen, Multilingual Summarization and Question Answering, Japan

Message 1: Japanese Society for Language Sciences, Japan

Date: Wed, 15 Jan 2003 02:06:18 +0000
From: kei <>
Subject: Japanese Society for Language Sciences, Japan

5th Annual Conference of the Japanese Society for Language Sciences

Short Title: JSLS 2003
Location: Kobe, Japan
Date: 05-JUL-03 - 06-JUL-03

Call Deadline: 01-Feb-2003

Web Site:
Contact Person: Takashi Torigoe
Meeting Email:
Linguistic Subfield(s): General Linguistics

Meeting Description: 

The Fifth Annual Conference of the Japanese Society for Language
Sciences will be held from July 5-6, 2003 at Kobe University. We
encourage submissions on research pertaining to language sciences,
including linguistics, psychology, education, computer science, brain
science, and philosophy, among others. Our keynote speakers will be
Catherine E. Snow (Harvard Graduate School of Education) and Masayoshi
Shibatani (Kobe University).
This is the final call for papers for the Fifth Annual Conference of
the Japanese Society for Language Sciences. We would like to remind
individuals interested in submitting an abstract that the submission
deadline for abstracts for symposia, papers, and posters is February
1, 2003.
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Message 2: Multilingual Summarization and Question Answering, Japan

Date: Fri, 10 Jan 2003 14:01:40 EST
From: Priscilla Rasmussen <>
Subject: Multilingual Summarization and Question Answering, Japan


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"

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

 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.


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.


Please send submission questions to Abraham Ittycheriah


Electronic submission only: send the pdf (preferred), postscript, or MS
Word form of your submission to: (Abraham Ittycheriah) 

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 (Tentative)
 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 

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

Regina Barzilay Columbia 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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