Summary of the paper

Title Knowledge Sources for Bridging Resolution in Multi-Party Dialog
Authors Mark-Christoph Mueller, Margot Mieskes and Michael Strube
Abstract In this paper we investigate the coverage of the two knowledge sources WordNet and Wikipedia for the task of bridging resolution. We report on an annotation experiment which yielded pairs of bridging anaphors and their antecedents in spoken multi-party dialog. Manual inspection of the two knowledge sources showed that, with some interesting exceptions, Wikipedia is superior to WordNet when it comes to the coverage of information necessary to resolve the bridging anaphors in our data set. We further describe a simple procedure for the automatic extraction of the required knowledge from Wikipedia by means of an API, and discuss some of the implications of the procedure’s performance.
Language Single language
Topics Discourse, Semantic Web, Lexicon, lexical database
Full paper Knowledge Sources for Bridging Resolution in Multi-Party Dialog
Slides Knowledge Sources for Bridging Resolution in Multi-Party Dialog
Bibtex @InProceedings{MUELLER08.720,
  author = {Mark-Christoph Mueller, Margot Mieskes and Michael Strube},
  title = {Knowledge Sources for Bridging Resolution in Multi-Party Dialog},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

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