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Prediction of user listening contexts for music playlists

, , and . Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), page 23--27. Online, Association for Computational Linguistics, (2020)

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Prediction of user listening contexts for music playlists, , and . Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), page 23--27. Online, Association for Computational Linguistics, (2020)Should we consider the users in contextual music auto-tagging models?., , , and . ISMIR, page 295-301. (2020)Pauzee : Prédiction des pauses dans la lecture d'un texte., , , and . CORIA-TALN (1), page 43-55. ATALA, (2023)A Human Subject Study of Named Entity Recognition in Conversational Music Recommendation Queries., and . EACL, page 1273-1288. Association for Computational Linguistics, (2023)What Shall I Do Next? - Intention Mining for Flexible Process Enactment., , , and . CAiSE, volume 8484 of Lecture Notes in Computer Science, page 473-487. Springer, (2014)Modeling the Dynamics of Online News Reading Interests., , , , , and . UMAP, page 363-364. ACM, (2017)Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution., , , and . CoRR, (2024)Network Analyses for Cross-Cultural Music Popularity., , , , , , and . ISMIR, page 298-305. (2022)Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts., , , and . ISMIR, page 186-192. (2022)Automatic process model discovery from textual methodologies., , , , and . RCIS, page 19-30. IEEE, (2015)