Capturing the Meaning of Complex Texts about Music

Richard Sutcliffe, Cynthia Liem

Research output: Contribution to conferenceAbstractScientific

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Abstract

Following four annual C@merata evaluations at MediaEval, in which natural language phrases about music must be mapped to passages in MusicXML scores, we have developed a representation which captures the meaning of a text about music as a JSON feature structure. We have written a system to convert any text to this repres entation, comprising 23 stages of pre-processing, followed by application of the SpaCy statistical dependency parser. We have applied the system to the C@merata test queries with accurate results. Our approach can capture extremely detailed information, as well as general musical ideas.
Original languageEnglish
Pages1-2
Number of pages2
Publication statusPublished - 2017
EventISMIR 2017: 18th International Society for Music Information Retrieval Conferences - Suzhou, China
Duration: 23 Oct 201727 Oct 2017
Conference number: 18

Conference

ConferenceISMIR 2017
Country/TerritoryChina
CitySuzhou
Period23/10/1727/10/17

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