@InProceedings{fell-EtAl:2018:C18-1,
  author    = {Fell, Michael  and  Nechaev, Yaroslav  and  Cabrio, Elena  and  Gandon, Fabien},
  title     = {Lyrics Segmentation: Textual Macrostructure Detection using Convolutions},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {2044--2054},
  abstract  = {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.},
  url       = {http://www.aclweb.org/anthology/C18-1174}
}