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Finding and expanding hypernymic relations in the music domain

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dc.contributor.author Espinosa-Anke, Luis
dc.contributor.author Oramas, Sergio
dc.contributor.author Camacho-Collados, Jose
dc.contributor.author Saggion, Horacio
dc.date.accessioned 2018-12-17T11:41:08Z
dc.date.available 2018-12-17T11:41:08Z
dc.date.issued 2016
dc.identifier.citation Espinosa-Anke L, Oramas S, Camacho-Collados J, Saggion H. Finding and expanding hypernymic relations in the music domain. Paper presented at: 19th International Conference of the Catalan Association for Artificial Intelligence (CCIA 2016); 2016 Oct 19-21; Barcelona, Spain.
dc.identifier.uri http://hdl.handle.net/10230/36111
dc.description Comunicació presentada a la 19th International Conference of the Catalan Association for Artificial Intelligence (CCIA) celebrada del 19 al 21 d'octubre de 2016 a Barcelona, Espanya.
dc.description.abstract Lexical taxonomies are tree or directed acyclic graph-like structures where each node represents a concept and each edge encodes a binary hypernymic (is-a) relation. These lexical resources are useful for AI tasks like Information Retrieval or Machine Translation. Two main trends exist in the construction and exploitation of these resources: On one hand, general purpose taxonomies like Word- Net, and on the other, domain-specific databases such as the CheBi chemical ontology, or MusicBrainz in the music domain. In both cases these are based on finding correct hypernymic relations between pairs of concepts. In this paper, we propose a generic framework for hypernym discovery, based on exploiting linear relations between (term, hypernym) pairs in Wikidata, and apply it to the domain of music. Our promising results, based on several metrics used in Information Retrieval, show that in several cases we are able to discover the correct hypernym for a given novel term.
dc.description.sponsorship This work is partially funded by the Spanish Ministry of Economy and Competitiveness under the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502), and under the TUNER project (TIN2015-65308-C5-5-R, MINECO/FEDER, UE). We also acknowledge support from Dr. Inventor (FP7-ICT-2013.8.1611383).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.rights © els autors
dc.rights.uri https://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.title Finding and expanding hypernymic relations in the music domain
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword Semantics
dc.subject.keyword Taxonomy learning
dc.subject.keyword Word sense disambiguation
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/611383
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-5-R
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/611383
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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