Analysis of Rhythmic Phrasing: Feature Engineering vs. Representation Learning for Classifying Readout Poetry

Timo Baumann, Hussein Hussein, Burkhard Meyer-Sickendiek. Analysis of Rhythmic Phrasing: Feature Engineering vs. Representation Learning for Classifying Readout Poetry. In Beatrice Alex, Stefania Degaetano-Ortlieb, Anna Feldman, Anna Kazantseva, Nils Reiter, Stan Szpakowicz, editors, Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCH@COLING 2018, Santa Fe, New Mexico, USA, August 25, 2018. pages 44-49, Association for Computational Linguistics, 2018. [doi]

@inproceedings{BaumannHM18-1,
  title = {Analysis of Rhythmic Phrasing: Feature Engineering vs. Representation Learning for Classifying Readout Poetry},
  author = {Timo Baumann and Hussein Hussein and Burkhard Meyer-Sickendiek},
  year = {2018},
  url = {https://aclanthology.info/papers/W18-4505/w18-4505},
  researchr = {https://researchr.org/publication/BaumannHM18-1},
  cites = {0},
  citedby = {0},
  pages = {44-49},
  booktitle = {Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCH@COLING 2018, Santa Fe, New Mexico, USA, August 25, 2018},
  editor = {Beatrice Alex and Stefania Degaetano-Ortlieb and Anna Feldman and Anna Kazantseva and Nils Reiter and Stan Szpakowicz},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-948087-61-2},
}