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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)

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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)Improving Quotation Attribution with Fictional Character Embeddings., , , and . CoRR, (2024)Should we consider the users in contextual music auto-tagging models?., , , and . ISMIR, page 295-301. (2020)A Human Subject Study of Named Entity Recognition in Conversational Music Recommendation Queries., and . EACL, page 1273-1288. Association for Computational Linguistics, (2023)Pauzee : Prédiction des pauses dans la lecture d'un texte., , , and . CORIA-TALN (1), page 43-55. ATALA, (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)A Realistic Evaluation of LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3., , , and . CoRR, (2024)Automatic analysis of online conversations as processes., , , , and . EDA, volume B-13 of RNTI, page 155-156. Éditions RNTI, (2017)Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation., , and . ISMIR, page 803-810. (2020)