Joint entity and relation linking using EARL

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

In order to answer natural language questions over knowledge graphs, most processing pipelines involve entity and relation linking. Traditionally, entity linking and relation linking have been performed either as dependent sequential tasks or independent parallel tasks. In this demo paper, we present EARL, which performs entity linking and relation linking as a joint single task. The system determines the best semantic connection between all keywords of the question by referring to the knowledge graph. This is achieved by exploiting the connection density between entity candidates and relation candidates. EARL uses Bloom filters for faster retrieval of connection density and uses an extended label vocabulary for higher recall to improve the overall accuracy.

OriginalspracheEnglisch
TitelISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks : Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks,  co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th to 12th, 2018
HerausgeberMarieke van Erp, Medha Atre, Vanessa Lopez, Kavitha Srinivas, Carolina Fortuna
Anzahl der Seiten4
ErscheinungsortAachen
VerlagSun Site Central Europe (RWTH Aachen University)
Erscheinungsdatum2018
PublikationsstatusErschienen - 2018
Extern publiziertJa
Veranstaltung17th International Semantic Web Conference - ISWC 2018 - Asilomar Conference Grounds, Monterey, USA / Vereinigte Staaten
Dauer: 08.10.201812.10.2018
Konferenznummer: 17
http://iswc2018.semanticweb.org/

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