14.744, Calls: NLP/Multiword Expressions

LINGUIST List linguist at linguistlist.org
Fri Mar 14 00:40:18 UTC 2003

LINGUIST List:  Vol-14-744. Thu Mar 13 2003. ISSN: 1068-4875.

Subject: 14.744, Calls: NLP/Multiword Expressions

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Date:  Tue, 11 Mar 2003 18:07:30 EST
From:  Priscilla Rasmussen <rasmusse at cs.rutgers.edu>
Subject:  Building Educational Applications Using NLP

Date:  Tue, 11 Mar 2003 18:11:56 EST
From:  Priscilla Rasmussen <rasmusse at cs.rutgers.edu>
Subject:  Multiword Expressions: Analysis, Acquisition and Treatment

-------------------------------- Message 1 -------------------------------

Date:  Tue, 11 Mar 2003 18:07:30 EST
From:  Priscilla Rasmussen <rasmusse at cs.rutgers.edu>
Subject:  Building Educational Applications Using NLP

Building Educational Applications Using Natural Language Processing

                            HLT/NAACL 2003 Workshop
				May 31, 2003
			     Edmonton, Canada



There is an increased use of NLP-based educational applications for
both large-scale assessment and classroom instruction.  This has
occurred for two primary reasons.  First, there has been a significant
increase in the availability of computers in schools, from elementary
school to the university. Second, there has been notable development
in computer-based educational applications that incorporate advanced
methods in NLP that can be used to evaluate students' work.

Educational applications have been developed across a variety of
subject domains in automated evaluation of free-responses and
intelligent tutoring.  To date, these two research areas have remained
autonomous. We hope that this workshop will facilitate communication
between researchers who work on all types of instructional
applications, for K-12, undergraduate, and graduate school. Since most
of this work in NLP-based educational applications is text-based, we
are especially interested in any work of this type that incorporates
speech processing and other input/output modalities.  We wish to
expose the NLP research community to these technologies with the hope
that they may see novel opportunities for use of their tools in an
educational application.

Invited Speaker: Thomas Landauer, University of Colorado, Boulder, and
Knowledge Analysis Technologies (KAT)

Call for Papers

We are especially interested in submissions including, but not limited

* Speech-based tools for educational technology
* Innovative text analysis for evaluation of student writing with
regard to: a) general writing quality, or b) accuracy of content for
domain-specific responses
* Text analysis methods to handle particular writing genres, such as
legal or business writing, or creative aspects of writing
* Intelligent tutoring systems that incorporate state-of-the-art NLP
methods to evaluate response content, using either text- or
speech-based analyses
* Dialogue systems in education
* understanding student input
* generating the tutors' feedback
* evaluation
* Evaluation of NLP-based tools for education
* Use of student response databases (text or speech) for tool building
* Content-based scoring

Important Dates:

Paper submission deadline:
Mar 17
Notification of acceptance for papers:
Mar 31
Camera ready papers due:
Apr 8
Workshop date:
May 31


Jill Burstein, Educational Testing Service (jburstein at ets.org)
Claudia Leacock, Educational Testing Service (cleacock at ets.org)

Program Committee:

Gregory Aist, Research Institute for Advanced Computer Science
Martin Chodorow, Hunter College, City University of New York
Ron Cole, University of Colorado, Boulder
Barbara Di Eugenio, University of Illinois at Chicago
John Dowding, Research Institute for Advanced Computer Science
Maxine Eskenazi, Carnegie Mellon University
Art Graesser, University of Memphis
Pamela Jordan, University of Pittsburgh
Karen Kukich, National Science Foundation
Diane Litman, University of Pittsburgh
Daniel Marcu, Information Sciences Institute/University of Southern
Thomas Morton, University of Pennsylvania
Carolyn Penstein Rose, University of Pittsburgh
Susanne Wolff, Princeton University
Klaus Zechner, Educational Testing Service

Format for Submission

Information about submissions can be found at the URL below.  Please
follow the instructions for full papers and use only Adobe's Portable
Document Format (PDF) or MS-Word documents.

Since the review process will be blind, please do not include any
author information on the actual paper. Please include an additional
title page with the following information: Paper title, names and
contact information for all authors, and the paper's abstract.


Please e-mail your final .pdf or MS-Word submission to
jburstein at ets.org or cleacock at ets.org no later than March 17, 2003.
Please feel free to contact the organizers with any questions
regarding the workshop.

-------------------------------- Message 2 -------------------------------

Date:  Tue, 11 Mar 2003 18:11:56 EST
From:  Priscilla Rasmussen <rasmusse at cs.rutgers.edu>
Subject:  Multiword Expressions: Analysis, Acquisition and Treatment


         2nd CALL FOR PAPERS

         ACL-2003 Workshop on
         Multiword Expressions: Analysis, Acquisition and Treatment

         12 July 2003, Sapporo, Japan



Workshop website:

ACL website:


Multiword expressions (MWEs) include a large range of linguistic
phenomenon, such as phrasal verbs (e.g. "add up"), nominal compounds
(e.g. "telephone box"), and institutionalized phrases (e.g. "salt and
pepper"), and they can be syntactically and/or semantically
idiosyncratic in nature.  MWEs are used frequently in everyday
language, usually to express precisely ideas and concepts that cannot
be compressed into a single word.

A considerable amount of research has been devoted to this subject,
both in terms of theory and practice, but despite increasing interest
in idiomaticity within linguistic research, there is still a gap
between the needs of NLP and the descriptive tradition of
linguistics. Owing to the lack of adequate resources to identify and
treat MWEs properly, they pose a real challenge for NLP. Most
real-world applications tend to ignore MWEs or address them simply by
listing. However, it is clear that successful applications will need
to be able to identify and treat them appropriately.  This
particularly applies to the many applications which require some
degree of semantic processing (e.g. machine translation,
question-answering, summarisation, generation).

In recent years there has been a growing awareness in the NLP
community of the problems that MWEs pose and the need for their robust
handling.  A considerable amount of research has been conducted in
this area, some within large research projects dedicated to MWEs
(e.g. the Multiword Expression Project). There is also a growing
interest in MWEs in projects focused on tasks such as parsing
(e.g. Robust Accurate Statistical Parsing (RASP)) and word sense
disambiguation (e.g. MEANING - Developing Multilingual Web-scale
Language Technologies) which are required by real-world applications.

Previous workshops on MWEs have focused on certain MWE types, notably
collocations, terminology and named entities. There are, however,
further subtypes of MWEs, which are highly relevant for NLP tasks but
which have not to date received specific attention. One example are
lexicalised (non- or semi-compositional) MWEs which raise specific
issues for applications which require semantic interpretation.


This workshop is intended to bring together NLP researchers working on
all areas of MWEs. The objective is to summarise what has been
achieved in the area, to establish common themes between different
approaches, and to discuss future trends, with particular emphasis on
addressing the problems that different MWE (sub)types pose for
real-world NLP applications.


Papers are invited on, but not limited to, the following topics:

    * Theoretical research on MWEs
    * MWE taxonomies, classifications and databases
    * Corpus based analysis of MWEs
    * Cross-lingual analysis of MWE types, use, and behaviour
    * Methods for identification and extraction of MWEs
      (machine learning, statistical, example- or rule-based, or hybrid)
    * Evaluation of MWE extraction methods
    * Integration of MWE data into grammars and NLP applications
      (e.g. machine translation and generation)
    * Problems MWEs (or MWE types) pose for NLP applications
       and solutions proposed

Papers can cover one or more of these areas.


Papers should be submitted electronically in Postscript or PDF format
to: mwe at cslab.kecl.ntt.co.jp. Submissions should conform to the
two-column format of ACL proceedings and should not exceed eight (8)
pages, including references. We strongly recommend the use of ACL-2003
style files, also available from the ACL-2003 website.

The subject line of the submission email should be "ACL2003 WORKSHOP
PAPER SUBMISSION". As reviewing will be blind, the body of the paper
should not include the names or affiliations of the authors. The
following identification information should be sent in a separate
email with the subject line "ACL2003 WORKSHOP ID PAGE":

Title: title of paper
Authors: list of all authors
Keywords: up to five topic keywords
Contact author: email address of author of record (for correspondence)
Abstract: abstract of paper (not more than 5 lines)

Notification of receipt will be emailed to the contact author.


Submission deadline: 05 April 2003
Acceptance notification: 03 May 2003
Final version deadline: 24 May 2003
Workshop date: 12 July 2003


Francis Bond
NTT Communication Science Laboratories, Japan
(bond at cslab.kecl.ntt.co.jp)

Anna Korhonen
University of Cambridge, UK
(Anna.Korhonen at cl.cam.ac.uk)

Diana McCarthy
University of Sussex, UK
(dianam at cogs.susx.ac.uk)

Aline Villavicencio
University of Cambridge, UK
(Aline.Villavicencio at cl.cam.ac.uk)


Anne Abeillé (Université Paris 7, France)
Timothy Baldwin (Stanford University, USA)
Ted Briscoe (University of Cambridge, UK)
Nicoletta Calzolari (Istituto di Linguistica Computazionale, Italy)
Ido Dagan (Bar-Ilan University, Israel)
Christiane Fellbaum (Princeton University, USA)
Chuck Fillmore (UC Berkeley, USA)
Nancy Ide (Vassar College, USA)
Kyo Kageura (National Institute of Informatics, Japan)
Brigitte Krenn (Austrian Research Institute for Artificial
Intelligence, Austria)
Maria Lapata (University of Edinburgh, UK)
Simonetta Montemagni (Istituto di Linguistica Computazionale, Italy)
Kentaro Ogura (NTT Cyber Space Laboratories, Japan)
Darren Pearce (University of Sussex, UK)
Ivan Sag (Stanford University, USA)
Tom Wasow (Stanford University, USA)
Annie Zaenen (PARC, USA)


Workshop registration information will be posted at a later date. The
registration fee will include attendance at the workshop and a copy of
workshop proceedings.

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