@inproceedings{RuppenhoferRehbein2019,
  author    = {Josef Ruppenhofer and Ines Rehbein},
  title     = {Detecting the boundaries of sentence-like units on spoken German},
  series = {Preliminary proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), October 9 – 11, 2019 at Friedrich-Alexander-Universit{\"a}t Erlangen-N{\"u}rnberg},
  publisher = {German Society for Computational Linguistics \& Language Technology und Friedrich-Alexander-Universit{\"a}t Erlangen-N{\"u}rnberg},
  address   = {M{\"u}nchen [u.a.]},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-93174},
  pages     = {130 -- 139},
  year      = {2019},
  abstract  = {Automatic division of spoken language transcripts into sentence-like units is a challenging problem, caused by disfluencies, ungrammatical structures and the lack of punctuation. We present experiments on dividing up German spoken dialogues where we investigate the impact of task setup and data representation, encoding of context information as well as different model architectures for this task.},
  language  = {en}
}