Multilingual Question Answering over Linked Data: QALD-3 Dataset

Unger C (2013)
Bielefeld University.

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Abstract / Bemerkung
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.
Stichworte
question answering; linked data; Semantic Web; natural language processing
Erscheinungsjahr
2013
Page URI
https://pub.uni-bielefeld.de/record/2640659

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Unger C. Multilingual Question Answering over Linked Data: QALD-3 Dataset. Bielefeld University; 2013.
Unger, C. (2013). Multilingual Question Answering over Linked Data: QALD-3 Dataset. Bielefeld University. doi:10.4119/unibi/citec.2013.6
Unger, C. (2013). Multilingual Question Answering over Linked Data: QALD-3 Dataset. Bielefeld University.
Unger, C., 2013. Multilingual Question Answering over Linked Data: QALD-3 Dataset, Bielefeld University.
C. Unger, Multilingual Question Answering over Linked Data: QALD-3 Dataset, Bielefeld University, 2013.
Unger, C.: Multilingual Question Answering over Linked Data: QALD-3 Dataset. Bielefeld University (2013).
Unger, Christina. Multilingual Question Answering over Linked Data: QALD-3 Dataset. Bielefeld University, 2013.
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Zuletzt Hochgeladen
2019-09-25T06:31:50Z
MD5 Prüfsumme
35aa4520d2b262c63bba17adf078fdbe

Material in PUB:
Wird zitiert von
Evaluating question answering over linked data
Lopez V, Unger C, Cimiano P, Motta E (2013)
Web Semantics Science Services And Agents On The World Wide Web 21: 3-13.
In sonstiger Relation
Wird zitiert von
QALD-3 Open Challenge
Unger C (2013)
Bielefeld: Bielefeld University.

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