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Michael Fell
Michael Fell
Unknown affiliation
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Year
Lyrics-based analysis and classification of music
M Fell, C Sporleder
Proceedings of COLING 2014, the 25th international conference on …, 2014
1112014
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
782021
Toward a perspectivist turn in ground truthing for predictive computing
V Basile, F Cabitza, A Campagner, M Fell
arXiv preprint arXiv:2109.04270, 2021
532021
Lyrics segmentation: Textual macrostructure detection using convolutions
M Fell, Y Nechaev, E Cabrio, F Gandon
Proceedings of the 27th International Conference on Computational …, 2018
222018
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
192019
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
162021
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
162018
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
152019
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
132019
Lyrics classification
M Fell
Master's Thesis: Saarland University, 2014
122014
Natural language processing for music information retrieval: deep analysis of lyrics structure and content
M Fell
Université Côte d'Azur, 2020
92020
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
82023
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
52022
Mining Annotator Perspectives from Hate Speech Corpora
M Fell, S Akhtar, V Basile
NL4AI@AI*IA, 2021
52021
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
42020
Verbal irony: Theories and automatic detection
M Fell
GRIN Verlag, 2012
32012
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
22022
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
12022
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
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