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Modéliser la perception des genres musicaux à travers différentes cultures à partir de ressources linguistiques
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In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265881 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.270-272 (2021)
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Modeling the Music Genre Perception across Language-Bound Cultures ...
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Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation ...
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Dataset from the EMNLP 2020 article "Modeling the Music Genre Perception across Language-Bound Cultures" ...
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Dataset from the ISMIR2020 article "Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation" ...
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Dataset from the ISMIR2020 article "Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation" ...
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Dataset from the ISMIR2020 article "Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation" ...
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Multilingual music genre embeddings for effective cross-lingual music item annotation ...
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Abstract:
Annotating music items with music genres is crucial for music recommendation and information retrieval, yet challenging given that music genres are subjective concepts. Recently, in order to explicitly consider this subjectivity, the annotation of music items was modeled as a translation task: predict for a music item its music genres within a target vocabulary or taxonomy (tag system) from a set of music genre tags originating from other tag systems. However, without a parallel corpus, previous solutions could not handle tag systems in other languages, being limited to the English-language only. Here, by learning multilingual music genre embeddings, we enable cross-lingual music genre translation without relying on a parallel corpus. First, we apply compositionality functions on pre-trained word embeddings to represent multi-word tags. Second, we adapt the tag representations to the music domain by leveraging multilingual music genres graphs with a modified retrofitting algorithm. Experiments show that our ...
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URL: https://zenodo.org/record/4245556 https://dx.doi.org/10.5281/zenodo.4245556
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Dataset from the EMNLP 2020 article "Modeling the Music Genre Perception across Language-Bound Cultures" ...
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Show details
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Multilingual music genre embeddings for effective cross-lingual music item annotation ...
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