Knowledge base unification via sense embeddings and disambiguation

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  • dc.contributor.author Delli Bovi, Claudioca
  • dc.contributor.author Espinosa-Anke, Luisca
  • dc.contributor.author Navigli, Robertoca
  • dc.date.accessioned 2016-05-19T16:43:17Z
  • dc.date.available 2016-05-19T16:43:17Z
  • dc.date.issued 2015ca
  • dc.description Paper presented at The 2015 Conference on Empirical Methods in Natural Language; 2015 Sept 17-21; Lisbon, Portugal.en
  • dc.description.abstract We present KB-UNIFY, a novel approach for integrating the output of different Open Information Extraction systems into a single unified and fully disambiguated knowledge repository. KB-UNIFY consists of three main steps: (1) disambiguation of relation argument pairs via a sensebased vector representation and a large unified sense inventory; (2) ranking of semantic relations according to their degree of specificity; (3) cross-resource relation alignment and merging based on the semantic similarity of domains and ranges. We tested KB-UNIFY on a set of four heterogeneous knowledge bases, obtaining high-quality results. We discuss and provide evaluations at each stage, and release output and evaluation data for the use and scrutiny of the community.en
  • dc.description.sponsorship The authors gratefully acknowledge the support of the ERC Starting Grant MultiJEDI No. 259234.en
  • dc.format.mimetype application/pdfca
  • dc.identifier.citation Delli Bovi C, Espinosa-Anke L, Navigli R. Knowledge base unification via sense embeddings and disambiguation. In: The 2015 Conference on Empirical Methods in Natural Language; 2015 Sept 17-21; Lisbon, Portugal. [Stroudsburg]: ACL (Association for Computational Linguistics); 2015. p.726-36.ca
  • dc.identifier.uri http://hdl.handle.net/10230/26307
  • dc.language.iso engca
  • dc.publisher ACL (Association for Computational Linguistics)ca
  • dc.relation.ispartof The 2015 Conference on Empirical Methods in Natural Language; 2015 Sept 17-21; Lisbon, Portugal. [Stroudsburg]: ACL (Association for Computational Linguistics); 2015. p.726-36.en
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/259234ca
  • dc.rights © ACL, Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Licenseca
  • dc.rights.accessRights info:eu-repo/semantics/openAccessca
  • dc.rights.uri https://creativecommons.org/licenses/by-nc-sa/3.0/
  • dc.title Knowledge base unification via sense embeddings and disambiguationca
  • dc.type info:eu-repo/semantics/conferenceObjectca
  • dc.type.version info:eu-repo/semantics/publishedVersionca