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A Rule-Based Approach to Extracting Relations from Music Tidbits
2015
Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion
This paper presents a rule based approach to extracting relations from unstructured music text sources. The proposed approach identifies and disambiguates musical entities in text, such as songs, bands, persons, albums and music genres. Candidate relations are then obtained by traversing the dependency parsing tree of each sentence in the text with at least two identified entities. A set of syntactic rules based on part of speech tags are defined to filter out spurious and irrelevant relations.
doi:10.1145/2740908.2741709
dblp:conf/www/OramasSA15
fatcat:3vnwk64trralppvmvf6hibxnwq