The C@merata Task at MediaEval 2015: Natural Language Queries on Classical Music Scores

This paper summarises the C@merata task in which participants built systems to answer short natural language queries about classical music scores in MusicXML. The task thus combined natural language processing with music information retrieval. Five groups from four countries submitted eight runs. The best submission scored Beat Precision 0.713 and Beat Recall 0.904.