Conf: 2nd Workshop on Statistical Parsing of Morphology-Rich Languages (SPMRL 2011), October 6, 2011, Dublin

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Wed Oct 5 21:37:48 UTC 2011


Date: Mon, 3 Oct 2011 01:58:36 +0200
From: Djamé Seddah <djame.seddah at paris-sorbonne.fr>
Message-Id: <A9D674A2-22F2-4A55-9602-B857BA31BF74 at paris-sorbonne.fr>
X-url: http://www.dcu.ie/conferences/iwpt/


                    ** Apologies for multiple postings **

*********************************************************************
CALL FOR PARTICIPATION
*********************************************************************
2nd Workshop on Statistical Parsing of
Morphology-Rich Languages (SPMRL 2011)

<https://sites.google.com/site/spmrl2011/>

Collocated with IWPT 2011 (October 5-7, 2011)
http://www.dcu.ie/conferences/iwpt/


Workshop date: October 6, 2011 (afternoon)
Location: Dublin City University, 
Early registration through September 15, 2011


-----------------------------------------------
The aim of this workshop is to bring together researchers interested in
parsing languages with richer morphological structures than in English,
and to provide a forum for discussing the challenges associated with
parsing such languages and sharing strategies towards their solutions.
We are interested in presentations relating to actively studied areas of
research including the adaptation of existing parsing techniques to new
languages, the design of new models that take morphological information
into account, the implementation of models that allow robust statistics
to be obtained in the face of high word-form variation, and so on.

You are cordially invited to attend the talks and to participate in the
discussion.

Registration is included in IWPT's registration fee.  The IWPT 2011
registration form has all information about registration deadlines and
fees.  <http://www.dcu.ie/conferences/iwpt/registration.shtml>

LIST OF ACCEPTED PAPERS
-----------------------------------------
(Long Papers)
- Discontinuous Data-Oriented Parsing: A mildly context-sensitive
  all-fragments grammar 
  Andreas van Cranenburgh, Remko Scha and Federico Sangati

- Morphological Features for Parsing Morphologically-rich Languages: A
  Case of Arabic 
  Jon Dehdari, Lamia Tounsi and Josef van Genabith

- Multiword Expressions in Statistical Dependency Parsing 
  Gulsen Erygit, Tugay Ilbay and Ozan Arkan Can

- Statistical Dependency Parsing in Korean: From Corpus Generation To
  Automatic Parsing 
  Jinho D. Choi and Martha Palmer 

(Short Papers)
- Data Point Selection for Self-training 
  Ines Rehbein	

-French Parsing Enhanced with a Word Clustering Method based on a
 Syntactic Lexicon
 Anthony Sigogne, Matthieu Constant and Eric Laporte 

-Linguistically Rich Graph Based Data Driven Parsing For Hindi 
 Samar Husain, Raghu Pujitha Gade and Rajeev Sangal 

-Testing the Effect of Morphological Disambiguation in Dependency
 Parsing of Basque 
 Bengoetxea Kepa, Casillas Arantza and Gojenola Koldo


DISCUSSION PANEL
--------------------------------
The main topics of discussion will be oriented towards the objective and
the design of a Shared Task involving parsing with non-gold input
(e.g. non-gold tokenization, morphology, POS,...). As in our previous
panels, we hope for a very animated discussion and of course, we expect
many interventions from the general audience.

- Panelists
Josef van Genabith (Dublin City University, Ireland)
James Henderson (Université de Geneve, Switzerland)
Joakim Nivre (Uppsala University, Sweden)
Slav Petrov (Google Research NY, USA)
Reut Tsarfaty (Chair, Uppsala University, Sweden)
*Yannick Versley (University of Tübingen, Germany)

(* to be confirmed)


ORGANIZERS AND CONTACTS
----------------------------------------------
Djamé Seddah, Université Paris-Sorbonne
Reut Tsarfaty, Uppsala University
Jennifer Foster, Dublin City University
to contact the organizers : spmrl2011 at gmail.com
website: https://sites.google.com/site/spmrl2011/

SPONSORS
-----------------
This workshop is endorsed by SIGPARSE  and  by the INRIA's Alpage
project.

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