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Recognizing musical entities in user-generated content

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dc.contributor.author Porcaro, Lorenzo
dc.contributor.author Saggion, Horacio
dc.date.accessioned 2019-10-16T07:49:18Z
dc.date.available 2019-10-16T07:49:18Z
dc.date.issued 2019
dc.identifier.citation Porcaro L, Saggion H. Recognizing musical entities in user-generated content. Computación y Sistemas; 2019;23(3):1079-88. DOI: 10.13053/CyS-23-3-3280
dc.identifier.issn 2007-9737
dc.identifier.uri http://hdl.handle.net/10230/42452
dc.description Comunicació presentada a: 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing) celebrat del 7 al 13 d'abril de 2019 a La Rochelle, França.
dc.description.abstract Recognizing Musical Entities is important for Music Information Retrieval (MIR) since it can improve the performance of several tasks such as music recommendation, genre classification or artist similarity. However, most entity recognition systems in the music domain have concentrated on formal texts (e.g. artists’ biographies, encyclopedic articles, etc.), ignoring rich and noisy user-generated content. In this work, we present a novel method to recognize musical entities in Twitter content generated by users following a classical music radio channel. Our approach takes advantage of both formal radio schedule and users’ tweets to improve entity recognition. We instantiate several machine learning algorithms to perform entity recognition combining task-specific and corpus-based features. We also show how to improve recognition results by jointly considering formal and user-generated content.
dc.description.sponsorship This work is partially supported by the European Commission under the TROMPA project (H2020 770376), and by the Spanish Ministry of Economy and Competitiveness under the Maria de Maeztu Units of Excellence Programme (MDM-2015- 0502).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Computing Research Center (CIC-IPN)
dc.relation.ispartof Computación y Sistemas; 2019;23(3):1079-88.
dc.rights © Instituto Politécnico Nacional (México)
dc.title Recognizing musical entities in user-generated content
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.13053/CyS-23-3-3280
dc.subject.keyword Named entity recognition
dc.subject.keyword Music information retrieval
dc.subject.keyword User-generated content
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/770376
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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