Complex Query Augmentation for Question Answering over Knowledge Graphs
Publication date
2019-10-11
Document type
Konferenzbeitrag
Author
Organisational unit
Computer Science Institute, University of Bonn, Bonn, Germany
ISSN
Conference
OTM 2019 Conferences : Confederated International Conferences: CoopIS, ODBASE, C&TC 2019, Rhodes, Greece, October 21-25, 2019
Series or journal
Lecture Notes in Computer Science
Periodical volume
11877
Book title
On the Move to Meaningful Internet Systems : Confederated International Conferences: CoopIS, ODBASE, C&TC 2019, Rhodes, Greece, October 21-25, 2019, Proceedings
First page
571
Last page
587
Part of the university bibliography
Nein
Keyword
Knowledge graphs
Query augmentation
Question answering
Abstract
Question answering systems have often a pipeline architecture that consists of multiple components. A key component in the pipeline is the query generator, which aims to generate a formal query that corresponds to the input natural language question. Even if the linked entities and relations to an underlying knowledge graph are given, finding the corresponding query that captures the true intention of the input question still remains a challenging task, due to the complexity of sentence structure or the features that need to be extracted. In this work, we focus on the query generation component and introduce techniques to support a wider range of questions that are currently less represented in the community of question answering. © Springer Nature Switzerland AG 2019.
Cite as
Abdelkawi, A., Zafar, H., Maleshkova, M., Lehmann, J. (2019). Complex Query Augmentation for Question Answering over Knowledge Graphs. In: Panetto, H., Debruyne, C., Hepp, M., Lewis, D., Ardagna, C., Meersman, R. (eds) On the Move to Meaningful Internet Systems: OTM 2019 Conferences. OTM 2019. Lecture Notes in Computer Science(), vol 11877. Springer, Cham. https://doi.org/10.1007/978-3-030-33246-4_36
Version
Published version
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