Tutorial - Natural Language Processing for Music Information Retrieval. Conclusions and Future
Channel: Pompeu Fabra University - Barcelona
Date: 2017-03-02

January 30th 2017 
https://www.upf.edu/web/mdm-dtic/tutorial-natural-language-processing-for-music-information-retrieval

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 http://mtg.upf.edu/ 
Luis Espinosa, Natural Language Processing Group https://www.upf.edu/web/taln

María de Maeztu Strategic Research Program on Data-driven Knowledge Extraction
https://www.upf.edu/web/mdm-dtic/