Publication:
A bridge too far for artificial intelligence?: Automatic classification of stanzas in Spanish poetry

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dc.contributor.authorPérez Pozo, Álvaro
dc.contributor.authorRosa, Javier de la
dc.contributor.authorRos, Salvador
dc.contributor.authorGonzález Blanco, Elena
dc.contributor.authorHernández, Laura
dc.contributor.authorSisto, Mirella de
dc.contributor.funderHorizon 2020 Framework Programme
dc.contributor.funderEuropean Research Council
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2024-07-08T13:15:09Z
dc.date.available2024-07-08T13:15:09Z
dc.date.issued2022
dc.description.abstractThe rise in artificial intelligence and natural language processing techniques has increased considerably in the last few decades. Historically,the focus has been primarily on texts expressed in prose form,leaving mostly aside figurative or poetic expressions of language due to their rich semantics and syntactic complexity. The creation and analysis of poetry have been commonly carried out by hand,with a few computer-assisted approaches. In the Spanish context,the promise of machine learning is starting to pan out in specific tasks such as metrical annotation and syllabification. However,there is a task that remains unexplored and underdeveloped: stanza classification. This classification of the inner structures of verses in which a poem is built upon is an especially relevant task for poetry studies since it complements the structural information of a poem. In this work,we analyzed different computational approaches to stanza classification in the Spanish poetic tradition. These approaches show that this task continues to be hard for computers systems,both based on classical machine learning approaches as well as statistical language models and cannot compete with traditional computational paradigms based on the knowledge of experts. © 2021 The Authors. Journal of the Association for Information Science and Technology published by Wiley Periodicals LLC on behalf of Association for Information Science and Technology.
dc.description.fundingtypeThis work was supported by Starting Grant research project “Poetry Standardization and Linked Open Data: POSTDATA” (ERC-2015-STG-679528) funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program. All the source code and corpus are available at GitHub repository: https://github.com/linhd-postdata/stanza-detection-evaluation .
dc.formatapplication/pdf
dc.identifier.citationPérez Pozo, Á., de la Rosa, J., Ros, S., González Blanco, E., Hernández, L., & De Sisto, M. (2022). A bridge too far for artificial intelligence?: Automatic classification of stanzas in Spanish poetry. Journal of the Association for Information Science and Technology, 73(2), 258-267.
dc.identifier.doihttps://doi.org/10.1002/asi.24532
dc.identifier.issn23301635
dc.identifier.officialurlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85107898736&doi=10.1002%2fasi.24532&partnerID=40&md5=509dc4c503dee81fb20145573315039e
dc.identifier.urihttps://hdl.handle.net/20.500.14417/3168
dc.issue.number2
dc.journal.titleJournal of the Association for Information Science and Technology
dc.language.isoeng
dc.page.final267
dc.page.initial258
dc.publisherJohn Wiley and Sons Inc
dc.relation.departmentOperations & Business Analytics
dc.relation.entityIE University
dc.relation.projectIDH2020: 679528
dc.relation.schoolIE Business School
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subject.otherComputer aided analysis
dc.subject.otherMachine learning
dc.subject.otherNatural language processing systems
dc.subject.otherSemantics
dc.subject.otherAutomatic classification
dc.subject.otherComputational approach
dc.subject.otherComputational paradigm
dc.subject.otherMachine learning approaches
dc.subject.otherNAtural language processing
dc.subject.otherStatistical language models
dc.subject.otherStructural information
dc.subject.otherSyntactic complexity
dc.subject.otherClassification (of information)
dc.titleA bridge too far for artificial intelligence?: Automatic classification of stanzas in Spanish poetry
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dc.volume.number73
dspace.entity.typePublication
person.identifier.scopus-author-id59159502100
person.identifier.scopus-author-id55203236600
person.identifier.scopus-author-id7005158730
person.identifier.scopus-author-id57190153324
person.identifier.scopus-author-id57222031867
person.identifier.scopus-author-id57224541472
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