@InProceedings{gatti-EtAl:2017:EACLshort,
  author    = {Gatti, Lorenzo  and  \"{O}zbal, G\"{o}zde  and  Stock, Oliviero  and  Strapparava, Carlo},
  title     = {To Sing like a Mockingbird},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {298--304},
  abstract  = {Musical parody, i.e. the act of changing the lyrics of an existing and very
	well-known song, is a commonly used technique for creating catchy advertising
	tunes and for mocking people or events. Here we describe a system for
	automatically producing a musical parody, starting from a corpus of songs. The
	system can automatically identify characterizing words and concepts related to
	a novel text, which are taken from the daily news. These concepts are then used
	as seeds to appropriately re- place part of the original lyrics of a song,
	using metrical, rhyming and lexical constraints. Finally, the parody can be
	sung with a singing speech synthesizer, with no intervention from the user.},
  url       = {http://www.aclweb.org/anthology/E17-2048}
}