A Rule-Based Approach to Extracting Relations from Music Tidbits

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. Read more “A Rule-Based Approach to Extracting Relations from Music Tidbits” →