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  Natural Language Questions for the Web of Data

Yahya, M., Berberich, K., Elbassuoni, S., Ramanath, M., Tresp, V., & Weikum, G. (2012). Natural Language Questions for the Web of Data. In 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (pp. 379-390). Stroudsburg, PA: The Association for Computational Linguistics.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-5914-5 Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0023-C140-2
Genre: Konferenzbeitrag

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 Urheber:
Yahya, Mohamed1, 2, Autor           
Berberich, Klaus1, Autor           
Elbassuoni, Shady1, 2, Autor           
Ramanath, Maya1, Autor           
Tresp, Volker3, Autor
Weikum, Gerhard1, Autor           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              
3External Organizations, ou_persistent22              

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Schlagwörter: -
 Zusammenfassung: The Linked Data initiative comprises structured databases in the Semantic-Web data model RDF. Exploring this heterogeneous data by structured query languages is tedious and error-prone even for skilled users. To ease the task, this paper presents a methodology for translating natural language questions into structured SPARQL queries over linked-data sources. Our method is based on an integer linear program to solve several disambiguation tasks jointly: the segmentation of questions into phrases; the mapping of phrases to semantic entities, classes, and relations; and the construction of SPARQL triple patterns. Our solution harnesses the rich type system provided by knowledge bases to constrain our semantic-coherence objective function. We present experiments on both the question translation and the resulting query answering.

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Sprache(n): eng - English
 Datum: 2012
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 647466
URI: http://aclweb.org/anthology-new/D/D12/D12-1035.pdf
Anderer: Local-ID: C1256DBF005F876D-43793842E42D08A9C1257A3A0077D0E2-YahyaBERTW12a
BibTex Citekey: YahyaBERTW12a
 Art des Abschluß: -

Veranstaltung

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Titel: Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Veranstaltungsort: Jeju, South Korea
Start-/Enddatum: 2012-07-12 - 2012-07-14

Entscheidung

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Titel: 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
  Kurztitel : EMNLP-CoNLL 2012
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Stroudsburg, PA : The Association for Computational Linguistics
Seiten: - Band / Heft: - Artikelnummer: D12-1035 Start- / Endseite: 379 - 390 Identifikator: ISBN: 978-1-937284-43-5