January 30th 2017
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In this tutorial, we focus on linguistic, semantic and statistical-based approaches to extract and formalize knowledge about music from naturally occurring text. We propose to provide the audience with a preliminary introduction to NLP, covering its main tasks along with the state-of-the-art and most recent developments. In addition, we will showcase the main challenges that the music domain poses to the different NLP tasks, and the already developed methodologies for leveraging them in MIR and musicological applications.
Sergio Oramas, Music Technology Group [ Ссылка ]
Luis Espinosa, Natural Language Processing Group [ Ссылка ]
María de Maeztu Strategic Research Program on Data-driven Knowledge Extraction
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