Question Answering over Linked Data (QALD-5)
نویسندگان
چکیده
1 CITEC, Bielefeld University, Germany [email protected] [email protected] [email protected] 2 Alexandru Ioan Cuza University of Iasi, Romania [email protected] 3 IBM Research, Dublin, Ireland [email protected] 4 AKSW, University of Leipzig, Germany [email protected] 5 INRIA Sophia-Antipolis Méditerrané, Cedex, France [email protected]
منابع مشابه
QALD-3: Multilingual Question Answering over Linked Data
The third edition of the open challenge on Question Answering over Linked Data (QALD-3) has put a strong emphasis on multilinguality. This paper provides an overview of the first task, focusing on multilingual question answering, which attracted six teams to submit results.
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The third instalment of the open challenge on Question Answering over Linked Data (QALD-3) has been conducted as a half-day lab at CLEF2013. Di↵erently from previous editions of the challenge, QALD-3 put a strong emphasis on multilinguality, o↵ering two tasks: one on multilingual question answering and one on ontology lexicalization. While no submissions were received for the latter, the former...
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We present a fine-grained analysis of the Question Answering over Linked Data (QALD-6) challenge. We divide the QALD-6 questions into 8 main categories and compare state-of-the-art questions answering (QA) systems over Linked Data against the individual categories. We show the difficulty (in terms of overall F scores of the QA systems) of each category. We show the effect of various natural lan...
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The past years have seen a growing amount of research on question answering (QA) over Semantic Web data, shaping an interaction paradigm that allows 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. On the other hand, the growing amount of data has led to a heterogeneous data la...
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1 CITEC, Bielefeld University, Germany [email protected] [email protected] [email protected] 2 Alexandru Ioan Cuza University of Iasi, Romania [email protected] 3 IBM Research, Dublin, Ireland [email protected] 4 AKSW, University of Leipzig, Germany [email protected] 5 INRIA Sophia-Antipolis Méditerrané, Cedex, France elena.cabrio@i...
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