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Prediction of user listening contexts for music playlists

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

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