[Corpora-List] QALD-2 Open Challenge on Question Answering over Linked Data

[Christina Unger]

Dear all,

The QALD-2 Open Challenge on Question Answering over Linked Data is on!

Question answering systems of all kinds are invited to participate in 
the shared task of processing natural language queries and retrieving 
relevant answers from a given RDF dataset, thereby providing an in-depth 
view of the strength, capabilities and current short-comings of existing 
systems.

We provide two datasets: DBpedia 3.7 and MusicBrainz, which can either 
be downloaded or accessed via a SPARQL endpoint. In addition, we provide 
100 training questions for each dataset, annotated with corresponding 
SPARQL queries and answers. Later, during test phase, participating 
systems will be evaluated with respect to precision and recall on a set 
of similar test questions. Submission of results will be possible via an 
online form, which can also be used for checking evaluation results on 
the training questions.

For detailed information as well as links to the datasets and training 
questions, please check the  workshop website:
http://greententacle.techfak.uni-bielefeld.de/~cunger/qald/index.php?x=challenge&q=2 
<http://greententacle.techfak.uni-bielefeld.de/%7Ecunger/qald/index.php?x=challenge&q=2>

Although the competition is tailored towards question answering systems 
based on natural language, we strongly encourage other relevant systems 
and methods that can benefit from the evaluation datasets to also report 
their results.

We wish you success and hope you have fun!
With best regards,
Christina Unger,
Philipp Cimiano,
Vanessa Lopez,
Enrico Motta,
Paul Buitelaar,
Richard Cyganiak

-- 
Christina Unger, PhD
Semantic Computing Group
CITEC, Bielefeld University
http://www.sc.cit-ec.uni-bielefeld.de/

Phone: +49 521 106 12224
Office: H1-124, Morgenbreede 39

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