Appel: 3rd Open Challenge on Multilingual Question Answering over Linked Data (QALD-3)
Thierry Hamon
thierry.hamon at UNIV-PARIS13.FR
Sat Feb 9 19:05:01 UTC 2013
Date: Thu, 7 Feb 2013 08:49:39 +0100 (CET)
From: Elena Cabrio <elena.cabrio at inria.fr>
Message-ID: <11267533.3263702.1360223379444.JavaMail.root at inria.fr>
X-url: http://www.sc.cit-ec.uni-bielefeld.de/ild
X-url: http://celct.fbk.eu/clef2013/index.php
------------------------------------------------------------------------
3rd Open Challenge on Multilingual Question Answering over Linked Data
(QALD-3)
http://www.sc.cit-ec.uni-bielefeld.de/ild
collocated with CLEF 2013
http://celct.fbk.eu/clef2013/index.php
------------------------------------------------------------------------
QALD-3 is the third in a series of evaluation campaigns on question
answering over linked data, this time with a strong emphasis on
multilinguality. In the context of a half-day lab at CLEF 2013, it
offers two open challenges:
Task 1: Multilingual question answering
Task 2: Ontology lexicalization
All relevant information about training and test phase as well as the
lab can be found on the website:
http://www.sc.cit-ec.uni-bielefeld.de/ild
* Motivation & Scope *
While more and more semantic data is published on the Web, the question
of how typical Web users can access this body of knowledge becomes of
crucial importance. Over the past years, there is a growing amount of
research on interaction paradigms that allow end users to profit from
the expressive power of Semantic Web standards while at the same time
hiding their complexity behind an intuitive and easy-to-use
interface. Especially natural language interfaces have received wide
attention, as they allow users to express arbitrarily complex
information needs in an intuitive fashion and, at least in principle, in
their own language. The key challenge lies in translating the users'
information needs into a form such that they can be evaluated using
standard Semantic Web query processing and inferencing techniques. To
this end, systems have to deal with a heterogeneous, distributed and
very large set of highly interconnected data. The availability of such
an amount of open and structured data has no precedents in computer
science and approaches that can deal with the specific character of
linked data are urgently needed.
In addition, multilinguality has become an issue of major interest for
the Semantic Web community, as both the number of actors creating and
publishing data all in languages other than English, as well as the
amount of users that access this data and speak native languages other
than English is growing substantially. In order to achieve the goal that
users from all countries have access to the same information, there is
an impending need for systems that can help in overcoming language
barriers by facilitating multilingual access to semantic data originally
produced for a different culture and language.
* Schedule *
Release of training dataset and instructions: February 1, 2013
Release of test dataset: May 1, 2013
Submission deadline: May 31, 2013
Release of evaluation results: June 17, 2013
Deadline for workshop notes submission: August 1, 2013
Workshop: September, 2013
We cordially invite everyone working on question answering over linked
data and/or ontology lexicalization to participate and look forward to
an exciting, insightful and fair challenge!
With best regards,
Vanessa Lopez,
Philipp Cimiano,
Christina Unger,
Elena Cabrio,
Axel Ngonga,
Sebastian Walter
-------------------------------------------------------------------------
Message diffuse par la liste Langage Naturel <LN at cines.fr>
Informations, abonnement : http://www.atala.org/article.php3?id_article=48
English version :
Archives : http://listserv.linguistlist.org/archives/ln.html
http://liste.cines.fr/info/ln
La liste LN est parrainee par l'ATALA (Association pour le Traitement
Automatique des Langues)
Information et adhesion : http://www.atala.org/
-------------------------------------------------------------------------
More information about the Ln
mailing list