Summary of the paper

Title Annotation of Discourse Relations for Conversational Spoken Dialogs
Authors Sara Tonelli, Giuseppe Riccardi, Rashmi Prasad and Aravind Joshi
Abstract In this paper, we make a qualitative and quantitative analysis of discourserelations within the LUNA conversational spoken dialog corpus. In particular,we first describe the Penn Discourse Treebank (PDTB) and then we detail theadaptation of its annotation scheme to the LUNA corpus of Italian task-orienteddialogs in the domain of software/hardware assistance. We discuss similaritiesand differences between our approach and the PDTB paradigm and point out thepeculiarities of spontaneous dialogs w.r.t. written text, which motivated somechanges in the annotation strategy. In particular, we introduced the annotationof relations between non-contiguous arguments and we modified the sensehierarchy in order to take into account the important role of pragmatics indialogs. In the final part of the paper, we present a comparison between thesense and connective frequency in a representative subset of the LUNA corpusand in the PDTB. Such analysis confirmed the differences between the twocorpora and corroborates our choice to introduce dialog-specific adaptations.
Language Discourse annotation, representation and processing
Topics Dialogue, Corpus (creation, annotation, etc.), Discourse annotation, representation and processing
Full paper Annotation of Discourse Relations for Conversational Spoken Dialogs
Bibtex @InProceedings{TONELLI10.184,
  author = {Sara Tonelli, Giuseppe Riccardi, Rashmi Prasad and Aravind Joshi},
  title = {Annotation of Discourse Relations for Conversational Spoken Dialogs},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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