Multilingual Question Answering over Linked Data: QALD-3 Dataset

Organisation CITEC -- Center of Excellence Cognitive Interaction Technology, Bielefeld University
Projects
Project Descriptions
Title Multilingual Question Answering over Linked Data: QALD-3 Dataset
Version v1.0.0
Date 2013-11-15
Creators Christina Unger
Contributors Sebastian Walter, Jela Ruhe, Phiipp Cimiano, Cord Wiljes, Axel-Cyrille Ngonga Ngomo, Elena Cabrio, Gosse Bouma
License 'QALD-3 Dataset' Copyright(c) Christina Unger
There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
The development of this database was supported by the Excellence Cluster EXC 277 Cognitive
Interaction Technology. The Excellence Cluster EXC 277 is a grant of the Deutsche
Forschungsgemeinschaft (DFG) in the context of the German Excellence Initiative.
'QALD-3 Dataset' is made available under the Open Data Commons Attribution License (ODC-By) v1.0. Any rights in individual contents of the database are licensed under the Database Contents License (DbCL) v1.0
Description This dataset comprises 200 natural language questions over DBpedia 3.8, annotated with SPARQL queries and answers. It was part of the QALD-3 open challenge: questions 1-100 constitute the training question set and questions 101-200 constitute the test question set.
Keywords Question Answering, Linked Data, Natural Language Processing, Semantic Web
Structure
Format XML
Relation "QALD-3 Open Challenge: Documentation": http://greententacle.techfak.uni-bielefeld.de/~cunger/qald/3/qald3_openchallenge.pdf
Acknowledgements The development of this database was supported by the Excellence Cluster EXC 277 Cognitive Interaction Technology. The Excellence Cluster EXC 277 is a grant of the Deutsche Forschungsgemeinschaft (DFG) in the context of the German Excellence Initiative.

New and updated versions

You may find additional and updated information at http://greententacle.techfak.uni-bielefeld.de/~cunger/qald/

toolkit.xml Magnifier (5.05 KB) Cord Wiljes, 2014-03-14 11:46