[Corpora-List] [posting request] call for papers: CL special issue on Parsing Morphologically Rich Languages (CLPMRL)

Reut Tsarfaty reut.tsarfaty at gmail.com
Fri Dec 24 07:56:47 UTC 2010


Dear List Moderator,

I attach below the call for papers on a special issue of the Computational
Linguistics journal on parsing morphologically rich languages.
Will you be so kind to post our call for papers to the list?

Thanks and Merry Christmas,

-- 
Reut Tsarfaty
The department of Linguistics and Philology
Uppsala University, Sweden
stp.lingfil.uu.se/~tsarfaty <http://stp.lingfil.uu.se/%7Etsarfaty>


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Call For Papers
Computational Linguistics Special issue on
Parsing Morphologically Rich Languages (CLPMRL)

INTRODUCTION

In the context of computational linguistics, parsing is the task of
automatically analyzing the syntactic structure of sentences in natural
language, providing information that is crucial for further semantic
processing and downstream applications. Although the performance of parsing
systems has in general improved tremendously in recent years, there is
increasing evidence that performance is highly sensitive to typological
differences between languages. Thus, statistical models for phrase structure
parsing developed for English often exhibit a drastic drop in performance
when applied to languages such as German, Arabic, French and Hebrew.
Similarly, multilingual evaluation campaigns for statistical dependency
parsers have shown considerable variation in accuracy across languages that
seem to be related at least partly to typological characteristics. In both
cases, it appears that the greatest challenges are posed by morphologically
rich languages (MRL), where significant information concerning syntactic
structure is expressed at the word level, where each word can have a very
high number of possible forms, and where word order is weakly constrained by
syntactic structure.

The challenges exhibited by MRLs transcend language boundaries, and emerging
insights are often relevant across different theoretical frameworks and
methodological traditions. Considering parsing research from the point of
view of MRLs therefore sheds light on the generality and adequacy of
currently available state-of-the-art parsing methods for dealing with
complex linguistic phenomena, vis à vis morphosyntactic interactions. This
special issue aims to provide the focal point for studies of large-scale,
broad-coverage parsing models that can successfully cope with the challenges
exhibited by MRLs, from both the formal and the statistical points of view.
It sets out to provide an overview of the state-of-the-art solutions, shared
insights across languages and frameworks, and lessons relevant to downstream
applications (such as machine translation of MRLs).

TOPICS

We solicit novel contributions describing completed work on broad-coverage
parsing of morphologically rich languages, from formal or statistical points
of view, in a single or multiple frameworks. We encourage contributions that
emphasize how particular methods respond to the challenges associated with
parsing MRLs and morphosyntactic phenomena, and go beyond the idiosyncrasies
associated with individual languages. The range of topics to be covered in
the special issue includes, but is not limited to:

    * Parsing models and architectures that explicitly integrate
morphological information into models for syntactic analysis.
    * Cross-language and/or cross-model comparison of models' strengths and
weaknesses in the face of linguistic phenomena associated with MRLs (e.g.
rich inflectional paradigms, different degrees of word-order freedom, etc.).
    * Comprehensive analyses of the strengths and weaknesses of parsing
models with respect to variation in tagsets, annotation schemes and
additional data transforma- tions that help to accomodate rich
morphosyntactic interactions.
    * Evaluation of parsers involving different parsing frameworks (e.g.
grammar-based or data-driven approaches) or different syntactic theories
(e.g. constituency-based or dependency-based) for MRLs.
    * Parsing models and architectures that can successfully cope with high
variation in word-form and improved handling of OOV words either by
incorporating linguistic knowledge or through the use of
unsupervised/semi-supervised learning techniques.

FORMAT OF SUBMISSION

In order to provide a wide exposure to the state-of-the-art in the field,
allowing us to cover multiple frameworks as well as multiple languages that
exhibit different structure and characteristics, the extended editorial
board of this special issue will use a new format with multiple short papers
of length up to 25 pages (excluding references). Submitted papers must
follow the CL formatting guidelines available at
http://cljournal.org/style.html. Submissions should be made through the CL
electronic submission system.

EXPRESSION OF INTEREST

Potential contributors are invited to send an expression of interest (EOI)
to the guest editors by January 30, 2011. The EOIs should consist of a
title, the language(s), and a brief indication of the topic. This will help
the editorial board determine the typological reach of the issue and the
required language-specific expertise for the reviews.
EOIs and inquiries should be directed to the guest editors via clpmrl [at]
indiana.edu.

SCHEDULE

Call for papers:         December 20, 2010
Expression of interest:         February 20, 2011
Submission of full articles:         June 1, 2011
Notification to authors:         September 20, 2011
Submission of revised articles:         December 20, 2011
Final decision to authors:         January 15, 2012
Final version due:            February 1, 2012

GUEST EDITORS

Reut Tsarfaty (Uppsala University, Sweden)
Djamé Seddah (Alpage & Université Paris Sorbonne, France)
Sandra Kübler (Indiana University, USA)
Joakim Nivre (Uppsala University, Sweden)

GUEST EDITORIAL BOARD

Daniel Bikel (Google Research, US)
Aoife Cahill (University of Stuttgart, Germany)
Marie Candito (Université Paris 7, France)
Michael Elhadad (Ben Gurion University, Israel)
Jennifer Foster (Dublin City University, Ireland)
Josef van Genabith (Dublin City University, Ireland)
Yoav Goldberg (Ben Gourion University, Israel)
Jan Hajic (Charles University, Czech Republic)
Julia Hockenmaier (University of Illinois, US)
Alon Lavie (Carnagie Mellon University, US)
Takuya Matsuzaki (University of Toyko, Japan)
Paola Merlo (University of Geneva, Switzerland)
Yusuke Miyao (University of Toyko, Japan)
Kemal Oflazer (Carnegie Mellon University, Qatar)
Owen Rambow (University of Columbia, US)
Ines Rehbein (Saarland University, Germany)
Khalil Sima'an (University of Amsterdam, The Netherlands)
Lamia Tounsi (Dublin City University, Ireland)
Yannick Versley (Tuebingen University, Germany)

CONTACT

Mail: clpmrl [at] indiana.edu
External website: http://sites.google.com/site/clpmrl2012/
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