LINGUIST List 14.157

Thu Jan 16 2003

Calls: Multiword Expressions/Generative Grammatik

Editor for this issue: Karolina Owczarzak <karolinalinguistlist.org>


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

Directory

  1. bond, ACL 2003 Workshop on Multiword Expressions, Japan
  2. kay.gonzalez, Generative Grammatik des S�dens, Germany

Message 1: ACL 2003 Workshop on Multiword Expressions, Japan

Date: Wed, 15 Jan 2003 21:28:13 +0000
From: bond <bondcslab.kecl.ntt.co.jp>
Subject: ACL 2003 Workshop on Multiword Expressions, Japan


Workshop on Multiword Expressions: Analysis, Acquisition and Treatment

Short Title: Workshop on MWEs
Location: Sapporo, Japan
Date: 12-Jul-2003 - 12-Jul-2003 
Call Deadline: 05-Apr-2003

Web Site: http://www.cl.cam.ac.uk/users/alk23/mwe/mwe.html
Contact Person: Francis Bond
Meeting Email: bondcslab.kecl.ntt.co.jp
Linguistic Subfield(s): Computational Linguistics 

This is a session of the following conference:
41st Annual Meeting of the Association for Computational Linguistics


Meeting Description: 

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

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.
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Message 2: Generative Grammatik des S�dens, Germany

Date: Thu, 16 Jan 2003 09:33:04 +0000
From: kay.gonzalez <kay.gonzalezuni-koeln.de>
Subject: Generative Grammatik des S�dens, Germany


Generative Grammatik des S�dens

Short Title: GGS
Location: Cologne, Germany
Date: 30-May-2003 - 01-Jun-2003 
Call Deadline: 30-Apr-2003

Web Site: http://www.linguistik.net/ggs/
Contact Person: Kay-Eduardo Gonzalez
Meeting Email: kay.gonzalezuni-koeln.de
Linguistic Subfield(s): General Linguistics 

Meeting Description: 

Generative Grammatik des S�dens GGS 2003 
http://www.linguistik.net/ggs/
Universit�t zu K�ln, May 30th - June 1st, 2003
Deadline for enrolement: April 30th, 2003

Dear friends of the Generative Grammatik des S�dens (GGS), 

the GGS-meeting and conference will take place this year at the
University of Cologne from 30th May to 1st June (Friday to Saturday).
This is the call for papers: If you want to give a talk, you should
enrol before 30th April 2003. The easiest way to enrol is via the
GGS-Webpage (http://www.linguistik.net/ggs/), E-Mail
(kay.gonzalezuni-koeln.de) or, only if necessary, via snail mail (see
the address below). As to the GGS-Philosophy: we explicitly encourage
the presentation of work in progress. According to this philosophy the
selection of papers is not based on a review process of abstracts but
on a first-come-first-served basis. For more information see our
webpage (http://www.linguistik.net/ggs/). The relevant addresses are:

GGS-webpage:
http://www.linguistik.net/ggs/

Contact address (E-Mail):
kay.gonzalezuni-koeln.de

Contact address (snail mail):
Kay Gonzalez
Universit�t zu K�ln
Institut f�r deutsche Sprache und Literatur
Albertus-Magnus-Platz (Philosophikum)
D-50923 K�ln

Organisation: Jan Bruners, J�rn Fiebiger, Kay Gonzalez, Amina Hallab,
Horst Lohnstein, Hilke Lamers, J�rgen Lenerz, Marco Musienko.
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