Lyrics-based analysis and classification of music M Fell, C Sporleder Proceedings of COLING 2014, the 25th international conference on …, 2014 | 113 | 2014 |
We need to consider disagreement in evaluation V Basile, M Fell, T Fornaciari, D Hovy, S Paun, B Plank, M Poesio, A Uma Proceedings of the 1st workshop on benchmarking: past, present and future, 15-21, 2021 | 85 | 2021 |
Toward a perspectivist turn in ground truthing for predictive computing V Basile, F Cabitza, A Campagner, M Fell arXiv preprint arXiv:2109.04270, 2021 | 53 | 2021 |
Lyrics segmentation: Textual macrostructure detection using convolutions M Fell, Y Nechaev, E Cabrio, F Gandon Proceedings of the 27th International Conference on Computational …, 2018 | 22 | 2018 |
Comparing automated methods to detect explicit content in song lyrics M Fell, E Cabrio, M Corazza, F Gandon RANLP 2019-Recent Advances in Natural Language Processing, 2019 | 19 | 2019 |
The WASABI dataset: cultural, lyrics and audio analysis metadata about 2 million popular commercially released songs M Buffa, E Cabrio, M Fell, F Gandon, A Giboin, R Hennequin, F Michel, ... The Semantic Web: 18th International Conference, ESWC 2021, Virtual Event …, 2021 | 17 | 2021 |
An ensemble approach of recurrent neural networks using pre-trained embeddings for playlist completion D Monti, E Palumbo, G Rizzo, P Lisena, R Troncy, M Fell, E Cabrio, ... Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018 | 16 | 2018 |
Love me, love me, say (and write!) that you love me: Enriching the WASABI song corpus with lyrics annotations M Fell, E Cabrio, E Korfed, M Buffa, F Gandon arXiv preprint arXiv:1912.02477, 2019 | 15 | 2019 |
Song lyrics summarization inspired by audio thumbnailing M Fell, E Cabrio, F Gandon, A Giboin Proceedings of the International Conference on Recent Advances in Natural …, 2019 | 14 | 2019 |
Lyrics classification M Fell Master's Thesis: Saarland University, 2014 | 13 | 2014 |
The WASABI song corpus and knowledge graph for music lyrics analysis M Fell, E Cabrio, M Tikat, F Michel, M Buffa, F Gandon Language Resources and Evaluation 57 (1), 89-119, 2023 | 10 | 2023 |
Natural language processing for music information retrieval: deep analysis of lyrics structure and content M Fell Université Côte d'Azur, 2020 | 9 | 2020 |
Lyrics segmentation via bimodal text–audio representation M Fell, Y Nechaev, G Meseguer-Brocal, E Cabrio, F Gandon, G Peeters Natural Language Engineering 28 (3), 317-336, 2022 | 5 | 2022 |
Mining Annotator Perspectives from Hate Speech Corpora M Fell, S Akhtar, V Basile NL4AI@AI*IA, 2021 | 5 | 2021 |
EVALITA4ELG: Italian Benchmark Linguistic Resources, NLP Services and Tools for the ELG Platform V Patti, V Basile, C Bosco, R Varvara, M Fell, A Bolioli, A Bosca IJCoL. Italian Journal of Computational Linguistics 6 (6-2), 105-129, 2020 | 4 | 2020 |
Verbal irony: Theories and automatic detection M Fell GRIN Verlag, 2012 | 3 | 2012 |
Italian NLP for everyone: Resources and models from EVALITA to the European language grid V Basile, C Bosco, M Fell, V Patti, R Varvara 2022 Language Resources and Evaluation Conference, LREC 2022, 174-180, 2022 | 2 | 2022 |
Italian EVALITA Benchmark Linguistic Resources, NLP Services and Tools V Patti, V Basile, A Bolioli, A Bosca, C Bosco, M Fell, R Varvara European Language Grid: A Language Technology Platform for Multilingual …, 2022 | 1 | 2022 |
KI-Unterstützung bei der digitalen Personalauswahl–Eine Fallstudie im Unternehmer-Kontext H Kiesow-Berger, M Fell, F Philippy, E Steiner Personalauswahl 4.0: KI, Machine Learning, Gamification und andere …, 2023 | | 2023 |
Traitement automatique des langues pour la recherche d'information musicale: analyse profonde de la structure et du contenu des paroles de chansons M Fell Université Côte d'Azur, 2020 | | 2020 |