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SPMRL 2013 : 4th Workshop on Statistical Parsing of Morphologically Rich Languages

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Link: http://www.spmrl.org/spmrl2013.html
 
When Oct 18, 2013 - Oct 18, 2013
Where Seattle, Washington
Submission Deadline Jul 29, 2013
Notification Due Aug 25, 2013
Final Version Due Sep 5, 2013
Categories    computational linguistics   PARSING   syntax   morphology
 

Call For Papers


********************************************************************
SPMRL 2013 - EMNLP-Workshop on Statistical
Parsing of Morphologically Rich Languages
http://www.spmrl.org/spmrl2013.html

Endorsed by SIGPARSE
********************************************************************

Co-located with EMNLP 2013, October 18 - 21 in Seattle, Washington


Important Dates

(NEW: Submission deadline has been moved from July 5th to July 29th)

--------------------------------------------
Submission deadline: July 29, 2013
Author Notification: August 25, 2013
Camera ready copy: September 05, 2013
Workshop: October 18, 2013
--------------------------------------------


SPMRL 2013 will feature a shared task on parsing morphologically rich
languages:
http://www.spmrl.org/spmrl2013-sharedtask.html

Join the Shared Task mailing list :
https://sympa.inria.fr/sympa/info/mrlp-sharedtask


Outline

The SPMRL series of workshop provides a forum for research in parsing
morphologically-rich languages, with the goal of identifying
cross-cutting issues in the annotation and parsing methodology for such
languages, which typically have more flexible word order and/or higher
word-form variation than English.


What we have learned

Past SPMRL installments have been host to successful identification of
some problem areas and approaches that address these problems: in the
presence of word order variation, more meaningful results can be reached
through treebank transformations (Versley & Rehbein 2009; Tsarfaty &
Sima'an 2010, Choi et al., 2012) or latent annotations (Petrov et al.,
2006), the parallel use of constituency and dependency structures (Le
Roux et al., 2012), as well as techniques to provide prior knowledge in
the handling of unseen words (Candito & Seddah 2010, Rehbein 2011,
Sigogne et al 2011; Anguiano & Candito 2012).

SPMRL has also been host to discussions on realistic and appropriate
evaluation methods that can be applied in the face of morphological
and/or segmentation ambiguities; these discussions have culminated in a
shared task for parsing these morphologically-rich languages, which will
be co-located with the workshop.


Areas of interest

The areas of interest of the fourth SPMRL workshop include, but are not
limited to, the following list of topics:

- applying cutting-edge parsing techniques to new languages
- strengths and weaknesses of current parsing techniques when applied to
morphologically-rich languages
- insights and techniques that are targeted at improving parsing quality for
morphologically-rich languages
- using insights from parsing and associated processing problems to motivate
decisions in the creation of new syntactically annotated corpora
- annotation and parsing of data from domains and genres that are not yet
covered for many languages


How to Submit

Authors are invited to submit long papers (up to 9 pages + references)
and short papers (up to 5 pages + references). Long papers should
describe unpublished, substantial and completed research. Short papers
should be position papers, papers describing work in progress or short,
focused contributions.


Submissions will be accepted until July, 29 , 2013, (11:59 p.m. PST) in
PDF format via the START system (https://www.softconf.com/emnlp2013/SPMRL2013)
and must be formatted using the NAACL 2013 stylefiles
(http://hum.csse.unimelb.edu.au/emnlp2013/files/naaclhlt2013.zip).


Shared Task

The fourth SPMRL workshop will also host the first shared task on
parsing morphologically rich languages (see Shared Task).


Organizers

Workshop

- Yoav Goldberg (Bar Ilan University, Israel)
- Ines Rehbein (Potsdam University, Germany)
- Yannick Versley (Tübingen University, Germany)

Shared task

- Sandra Kübler (Indiana University, US)
- Djamé Seddah (Université Paris Sorbonne & INRIAs Alpage Project, France)
- Reut Tsarfaty (Uppsala University, Sweden)

Program committee

- Mohammed Attia (Dublin City University, Ireland)
- Bernd Bohnet (University of Birmingham, UK)
- Marie Candito (University of Paris 7, France)
- Aoife Cahill (Educational Testing Service Inc., US)
- Ozlem Cetinoglu (University of Stuttgart, Germany)
- Jinho Choi (IPSoft Inc., US)
- Grzegorz Chrupala (Tilburg University, Netherlands)
- Benoit Crabbé (University of Paris 7, France)
- Gülsen Cebiroglu Eryigit (Istanbul Technical University, Turkey)
- Michael Elhadad (Ben Gurion University, Israel)
- Richard Farkas (University of Szeged, Hungary)
- Jennifer Foster (Dublin City University, Ireland)
- Josef van Genabith (Dublin City University, Ireland)
- Koldo Gojenola (University of the Basque Country, Spain)
- Spence Green (Stanford University, US)
- Samar Husain (Potsdam University, Germany)
- Sandra Kübler (Indiana University, US)
- Jonas Kuhn (University of Stuttgart, Germany)
- Alberto Lavelli (FBK-irst, Italy)
- Joseph Le Roux (Université Paris-Nord, France)
- Wolfgang Maier (University of Düsseldorf, Germany)
- Yuval Marton (IBM Watson Research Center, US)
- Takuya Matsuzaki (University of Tokyo, Japan)
- Joakim Nivre (Uppsala University, Sweden)
- Kemal Oflazer (Carnegie Mellon University, Qatar)
- Adam Przepiorkowski (ICS PAS, Poland)
- Owen Rambow (Columbia University, US)
- Kenji Sagae (University of Southern California, US)
- Benoit Sagot (Inria Rocquencourt, France)
- Djamé Seddah (Inria Rocquencourt, France)
- Reut Tsarfaty (Uppsala University, Sweden)
- Lamia Tounsi (Dublin City University, Ireland)
- Daniel Zeman (Charles University, Czechia)


ENDORSEMENT

This workshop is endorsed by THE ACL SIGPARSE interest group.

For their precious help preparing the SPMRL 2013 Shared Task and for
allowing their data to be part of it, we warmly thank the Linguistic
Data Consortium, the Knowledge Center for Processing Hebrew (MILA), the
Ben Gurion University, Columbia University, Institute of Computer
Science (Polish Academy of Sciences), Korea Advanced Institute of
Science and Technology, University of the Basque Country, University of
Lisbon, Uppsala University, University of Stuttgart, University of
Szeged and University Paris Diderot (Paris 7).

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