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<DIV> </DIV><B>LREC 2012 Workshop on: Language Resource Merging
</B><BR><BR><A class=moz-txt-link-freetext
href="http://panacea-lr.eu/en/news/project/2011/12/19/lrec-2012-merging-lr-workshop/">http://panacea-lr.eu/en/news/project/2011/12/19/lrec-2012-merging-lr-workshop/</A>
<BR><BR>
<DIV align=center> <BR> Date: 22 May 2012 - Afternoon Session
<BR></DIV><BR>
<DIV align=center>Location: Istanbul, Turkey <BR></DIV><BR>
<DIV align=center>**** Deadline for paper submission EXTENDED *****
<BR></DIV><BR>
<DIV align=center><B><FONT color=#ff0000>**** NEW Deadline for paper submission:
22 February 2012 ***** </FONT></B><BR></DIV><BR><SMALL>CONTEXT <BR><BR>The
availability of adequate language resources has been a well-known bottleneck for
most high-level language technology applications, e.g. Machine Translation,
parsing, and Information Extraction, for at least 15 years , and the impact of
the bottleneck is becoming all the more apparent with the availability of higher
computational power and massive storage, since modern language technologies are
capable of using far more resources than the community produces. The present
landscape is characterized by the existence of numerous scattered resources,
many of which have differing levels of coverage, types of information and
granularity. Taken singularly, existing resources do not have sufficient
coverage, quality or richness for robust large-scale applications, and yet they
contain valuable information (Monachini et al. 2004 and 2006; Soria et al. 2006;
Molinero, Sagot and Nicolas 2009; Necsulescu et al. 2011). Differing technology
or application requirements, ignorance of the existence of certain resources,
and difficulties in accessing and using them, has led to the proliferation of
multiple, unconnected resources that, if merged, could constitute a much richer
repository of information augmenting either coverage or granularity, or both,
and consequently multiplying the number of potential language technology
applications. Merging, combining and/or compiling larger resources from existing
ones thus appears to be a promising direction to take. <BR><BR>The re-use and
merging of existing resources is not altogether unknown. For example, WordNet
(Fellbaum, 1998) has been successfully reused in a variety of applications. But
this is the exception rather than the rule; in fact, merging, and enhancing
existing resources is uncommon, probably because it is by no means a trivial
task given the profound differences in formats, formalisms, metadata, and
linguistic assumptions. <BR><BR>The language resource landscape is on the brink
of a large change, however. With the proliferation of accessible metadata
catalogues, and resource repositories (such as the new META-SHARE (<A
class=moz-txt-link-freetext
href="http://www.meta-net.eu/meta-share">http://www.meta-net.eu/meta-share</A>)
infrastructure), a potentially large number of existing resources will be more
easily located, accessed and downloaded. Also, with the advent of distributed
platforms for the automatic production of language resources, such as PANACEA
(<A class=moz-txt-link-freetext
href="http://www.panacea-lr.eu/">http://www.panacea-lr.eu/</A>), new language
resources and linguistic information capable of being integrated into those
resources will be produced more easily and at a lower cost. Thus, it is likely
that researchers and application developers will seek out resources already
available before developing new, costly ones, and will require methods for
merging/combining various resources and adapting them to their specific needs.
<BR><BR>Up to the present day, most resource merging has been done manually,
with only a small number of attempts reported in the literature towards
(semi-)automatic merging of resources (Crouch & King 2005; Pustejovsky et
al. 2005; Molinero, Sagot and Nicolas 2009; Necsulescu et al. 2011). In order to
take a further step towards the scenario depicted above, in which resource
merging and enhancing is a reliable and accessible first step for researchers
and application developers, experience and best practices must be shared and
discussed, as this will help the whole community avoid any waste of time and
resources. <BR><BR>AIMS OF THE WORKSHOP <BR><BR>This half-day workshop is meant
to be part of a series of meetings constituting an ongoing forum for sharing and
evaluating the results of different methods and systems for the automatic
production of language resources (the first one was the LREC 2010 Workshop on
Methods for the Automatic Production of Language Resources and their Evaluation
Methods). The main focus of this workshop is on (semi-)automatic means of
merging language resources, such as lexicons, corpora and grammars. Merging
makes it possible to re-use, adapt, and enhance existing resources, alongside
new, automatically created ones, with the goal of reducing the manual
intervention required in language resource production, and thus ultimately
production costs. <BR><BR>WORKSHOP TOPICS <BR><BR>The topics of the workshop are
related to best practices, methods, techniques and experimental results
regarding the merging of various types of language resources, such as lexicons
and corpora, especially in support of language technology applications. In
particular, new methods for automatic merging with a view towards reducing human
intervention will be most welcome. <BR><BR>Topics for submission include, but
are not limited to: <BR><BR>- Experiments on
(semi-)automatic merging of automatically produced resources
<BR><BR>- Experiments on the merging of two
or more existing resources containing the same or different levels of linguistic
information <BR><BR>- Studies or experiments
on merging resources at different levels of granularity (corpora, lexicons,
grammars) <BR><BR>- Studies or experiments
on unifying, mapping or converting encoding formats
<BR><BR>- Comparison between different
resources and mapping algorithms to provide desired merging
<BR><BR>- Use of linguistic information from
different sources in high-level language applications
<BR><BR>- Use of new, merged language
resources in language technology applications <BR><BR>SUBMISSIONS
<BR><BR>Interested participants must submit a preliminary paper of about 4-6
pages including references (between 2000-2500 words). For the submission please
use the online form on START LREC Conference Manager at: <A
class=moz-txt-link-freetext
href="https://www.softconf.com/lrec2012/MergingLR2012/">https://www.softconf.com/lrec2012/MergingLR2012/</A>
<BR><BR>When submitting a paper from the START page, authors will be asked to
provide essential information about resources (in a broad sense, i.e. also
technologies, standards, evaluation kits, etc.) that have been used for the work
described in the paper or are a new result of your research. <BR><BR>For further
information on this new initiative, please refer to <A
class=moz-txt-link-freetext
href="http://www.lrec-conf.org/lrec2012/?LRE-Map-2012">http://www.lrec-conf.org/lrec2012/?LRE-Map-2012</A>
<BR><BR>Papers will be peer-reviewed by the workshop Program Committee.
<BR><BR>IMPORTANT DATES <BR><BR>- Deadline
for paper submission: 22 February 2012
<BR><BR>- Notification of acceptance: 15
March 2012 <BR><BR>- Submission of
camera-ready version of papers: 31 March 2012
<BR><BR>- Workshop date: 22 May 2012 -
Afternoon Session <BR><BR>CONTACT <BR><BR><A class=moz-txt-link-abbreviated
href="mailto:lrec12_workshop_merging@ilc.cnr.it">lrec12_workshop_merging@ilc.cnr.it</A>
<BR><BR><BR>ORGANIZING COMMITTEE <BR><BR>Núria Bel, UPF, Barcelona, Spain
<BR><BR>Maria Gavrilidou, ILSP-Athena, Athens, Greece, <BR><BR>Monica Monachini,
CNR-ILC, Pisa, Italy <BR><BR>Valeria Quochi, CNR-ILC, Pisa, Italy <BR><BR>Laura
Rimell, University of Cambridge, UK <BR><BR><BR>PROGRAMME COMMITTEE:
<BR><BR>Victoria Arranz, ELDA, Paris, France <BR><BR>Paul Buitelaaar, National
University of Ireland, Galway, Ireland <BR><BR>Nicoletta Calzolari, CNR-ILC,
Pisa, Italy <BR><BR>Olivier Hamon, ELDA, Paris, France <BR><BR>Ales Horák,
Masaryk University, Brno, Czech Republic <BR><BR>Nancy Ide, Vassar College,
Mass. USA <BR><BR>Bernardo Magnini, FBK, Trento, Italy <BR><BR>Paola Monachesi,
Utrecht University, Utrecht, The Netherlands <BR><BR>Jan Odijk, , Utrecht
University, Utrecht, The Netherlands <BR><BR>Muntsa Padró, IULA, Barcellona,
Spain <BR><BR>Karel Pala, Masaryk University, Brno, Czech Republic
<BR><BR>Thierry Poibeau University of Cambridge, UK and CNRS, Paris, France
<BR><BR>Benoît Sagot, INRIA, Paris, France <BR><BR>Kiril Simov, Bulgarian
Academy of Sciences, Sofia, Bulgaria <BR><BR>Claudia Soria, CNR-ILC, Pisa, Italy
<BR><BR>Maurizio Tesconi, CNR-IIT, Pisa </SMALL><BR><PRE class=moz-signature cols="72">--
Monica Monachini <A class=moz-txt-link-abbreviated href="mailto:monica.monachini@ilc.cnr.it">monica.monachini@ilc.cnr.it</A>
Istituto di Linguistica Computazionale
Consiglio Nazionale delle Ricerche
Via Moruzzi 1
56124 Pisa - Italy
tel: +39 050 315 2852 (direct)
+39 338 888 1164 (mobile)
fax: +39 050 315 2839
<A class=moz-txt-link-freetext href="http://www.ilc.cnr.it/">http://www.ilc.cnr.it/</A>
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