14.2929, Calls: Discourse Analysis; Computational Linguistics

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LINGUIST List:  Vol-14-2929. Mon Oct 27 2003. ISSN: 1068-4875.

Subject: 14.2929, Calls: Discourse Analysis; Computational Linguistics

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1)
Date:  Fri, 24 Oct 2003 10:15:37 +0000
From:  brona.murphy at ul.ie
Subject:  2nd Inter-Varietal Corpus Studies Group International Conference

2)
Date:  Fri, 24 Oct 2003 11:15:00 +0000
From:  alk23 at cl.cam.ac.uk
Subject:  Computer Speech and Language

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

Date:  Fri, 24 Oct 2003 10:15:37 +0000
From:  brona.murphy at ul.ie
Subject:  2nd Inter-Varietal Corpus Studies Group International Conference


2nd Inter-Varietal Corpus Studies Group International Conference
Short Title: IVACS

Date: 25-Jun-2004 - 26-Jun-2004
Location: Belfast, Northern Ireland
Contact: Steve Walsh
Contact Email: s.walsh at qub.ac.uk
Meeting URL: http://www.mic.ul.ie/ivacs

Linguistic Sub-field: Discourse Analysis
Call Deadline: 16-Jan-2004

Meeting Description:

The 2nd Inter-Varietal Applied Corpus Studies (IVACS) group International
Conference on

 ''Analyzing Discourse in Context''

The Graduate School of Education, Queen's University, Belfast, Northern
Ireland,  25 - 26 June, 2004

Keynote Speakers

Douglas Biber
Michael Hoey
John Swales

The theme of the conference is 'Analysing discourse in context' and
related themes include talk-in-interaction, variations in context,
communities of practice, the implications of context for language
learning and research methods for analyzing context.

Abstracts, totalling no more than 200 words and including title, name
of presenter, contact details and brief outline of the talk should be
sent to the conference organiser, Steve Walsh (s.walsh at qub.ac.uk),
from whom further details are available. Given the scope of the IVACS
research group (http://www.mic.ul.ie/ivacs), corpus-based approaches
to analyzing context are particularly welcome.

The deadline for  receipt of abstracts has been
extended to Friday, January 16th 2004.
Dr  Steve Walsh,
Graduate School of Education,
Queen's University,
BELFAST,
BT7 1HL
Northern Ireland.



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

Date:  Fri, 24 Oct 2003 11:15:00 +0000
From:  alk23 at cl.cam.ac.uk
Subject:  Computer Speech and Language


Computer Speech and Language	
Call Deadline: 5-MAY-2004

CALL FOR PAPERS

Journal of Computer Speech and Language

Special Issue on Multiword Expressions

Guest editors:

Aline Villavicencio (University of Cambridge, UK)
Francis Bond (NTT Communication Science Laboratories, Japan)
Anna Korhonen (University of Cambridge, UK)
Diana McCarthy (University of Sussex, UK)

Multiword expressions (MWEs) include a large range of linguistic
phenomena, 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 natural
language processing (NLP) and the descriptive tradition of
linguistics. 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 more
appropriately.

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. This special issue of Computer Speech and Language, due for
publication in 2005, will be devoted to the acquisition,
identification and treatment of MWEs.

We invite papers adopting a quantitive approach to the following
aspects of MWE research:

* Extraction of MWEs:
There has been considerable research into extraction of lists of some
multiword expressions and collocations of certain types, such as noun
noun compounds, institutionalised expressions and verb particle
constructions. Papers which explore the benefits and weaknesses of
methods across different MWE types, and across different languages are
particularly welcome. Also, we encourage papers where the extraction
is not limited to an enumeration of MWEs of a given type, but permits
some sort of subcategorization or analysis of the syntactic or
semantic properties of the expression.

* Evaluation of extracted MWEs:
To date researchers have tended to evaluate MWE extraction by
exploiting available man-made lexical resources or using manual
annotation of either the input data or the automatically extracted
lists. There is considerable scope for proposals of standard
evaluation metrics, test and training data and for task-based
evaluation.

* Identification of MWEs:
Whilst there has been considerable research on extraction, less
attention has been paid to determining if a candidate multiword token
is in fact a genuine multiword, or simply a regular compositional
occurrence of the words that can comprise a multiword e.g. ''She
looked up the road'' vs ''She looked up his telephone number''.

* The benefits of MWE identification and treatment for applications:
Papers are encouraged which expose the problems that MWEs pose for
specific applications and solutions to these problems.

Submission Information:

Deadline for paper submissions: 5 May 2004
Notification of acceptance: 5 August 2004
Final manuscripts due: 5 November 2004

All submissions will be subject to the normal peer review process for
this journal.

Submissions in electronic form (PDF) are strongly preferred and must
conform to the Computer Speech and Language specifications, which are
available at: http://authors.elsevier.com/journal/csl

Any initial queries should be addressed to mwe-editors at cl.cam.ac.uk

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