A rule-based approach to extracting relations from music tidbits

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• dc.contributor.author Oramas, Sergioca
• dc.contributor.author Sordo, Mohamedca
• dc.contributor.author Espinosa-Anke, Luisca
• dc.date.accessioned 2017-12-18T09:25:55Z
• dc.date.available 2017-12-18T09:25:55Z
• dc.date.issued 2015
• dc.description Comunicació presentada a la 24th International World Wide Web Conference, celebrada els dies 18 a 22 de maig de 2015 a Florència, Itàlia.
• dc.description.abstract This paper presents a rule based approach to extracting relations from unstructured music text sources. The proposed approach identifies and disambiguates musical entities in text, such as songs, bands, persons, albums and music genres. Candidate relations are then obtained by traversing the dependency parsing tree of each sentence in the text with at least two identified entities. A set of syntactic rules based on part of speech tags are defined to filter out spurious and irrelevant relations. The extracted entities and relations are finally represented as a knowledge graph. We test our method on texts from songfacts.com, a website that provides tidbits with facts and stories about songs. The extracted relations are evaluated intrinsically by assessing their linguistic quality, as well as extrinsically by assessing the extent to which they map an existing music knowledge base. Our system produces a vast percentage of linguistically correct relations between entities, and is able to replicate a significant part of the knowledge base.en
• dc.format.mimetype application/pdfca
• dc.identifier.citation Oramas S, Sordo M, Espinosa-Anke L. A rule-based approach to extracting relations from music tidbits. In: WWW'15 Companion. 24th International World Wide Web Conference; 2015 May 18-22; Florence, Italy. New York (NY): ACM; 2015. p. 661-6. DOI: 10.1145/2740908.2741709
• dc.identifier.doi http://dx.doi.org/10.1145/2740908.2741709
• dc.identifier.uri http://hdl.handle.net/10230/33520
• dc.language.iso eng
• dc.publisher ACM Association for Computer Machineryca
• dc.relation.ispartof WWW'15 Companion. 24th International World Wide Web Conference; 2015 May 18-22; Florence, Italy. New York (NY): ACM; 2015. p. 661-6.
• dc.rights © 2015 Association for Computing Machinery
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Open information extractionen
• dc.subject.keyword Relation extractionen
• dc.subject.keyword Musicen
• dc.title A rule-based approach to extracting relations from music tidbitsca
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion