This repository contains all the code needed to run and reproduce results reported in our COLING2018 paper.
Lyrics contain repeated patterns that are correlated with the repetitions found in the music they accompany. Repetitions in song texts have been shown to enable lyrics segmentation – a fundamental prerequisite of automatically detecting the building blocks (e.g. chorus, verse) of a song text. In this article we improve on the state-of-the-art in lyrics segmentation by applying a convolutional neural network to the task, and experiment with novel features as a step towards deeper macrostructure detection of lyrics.
@inproceedings{fell:segmentation,
TITLE = {Lyrics Segmentation: Textual Macrostructure Detection using Convolutions},
AUTHOR = {Fell, Michael and Nechaev, Yaroslav and Cabrio, Elena and Gandon, Fabien},
BOOKTITLE = {Conference on Computational Linguistics (COLING)},
ADDRESS = {Santa Fe, New Mexico, United States},
YEAR = {2018},
}