@InProceedings{dominguez-farrus-wanner:2016:COLING,
  author    = {Dominguez, Monica  and  Farr\'{u}s, Mireia  and  Wanner, Leo},
  title     = {An Automatic Prosody Tagger for Spontaneous Speech},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {377--386},
  abstract  = {Speech prosody is known to be central in advanced communication technologies.
	However, despite the advances of theoretical studies in speech prosody, so far,
	no large scale prosody annotated resources that would facilitate empirical
	research and the development of empirical computational approaches are
	available. This is to a large extent due to the fact that current common
	prosody annotation conventions offer a descriptive framework of intonation
	contours and phrasing based on labels. This makes it difficult to reach a
	satisfactory inter-annotator agreement during the annotation of gold standard
	annotations and, subsequently, to create consistent large scale annotations. To
	address this problem, we present an annotation schema for prominence and
	boundary labeling of prosodic phrases based upon acoustic parameters and a
	tagger for prosody annotation at the prosodic phrase level. Evaluation proves
	that inter-annotator agreement reaches satisfactory values, from 0.60 to 0.80
	Cohen's kappa, while the prosody tagger achieves acceptable recall and
	f-measure figures for five spontaneous samples used in the evaluation of
	monologue and dialogue formats in English and Spanish. The work presented in
	this paper is a first step towards a semi-automatic acquisition of large
	corpora for empirical prosodic analysis.},
  url       = {http://aclweb.org/anthology/C16-1037}
}