Summary of the paper

Title A Typology of Near-Identity Relations for Coreference (NIDENT)
Authors Marta Recasens, Eduard Hovy and M. Antònia Martí
Abstract The task of coreference resolution requires people or systems to decide whentwo referring expressions refer to the 'same' entity or event. In real text,this is often a difficult decision because identity is never adequatelydefined, leading to contradictory treatment of cases in previous work. Thispaper introduces the concept of 'near-identity', a middle ground categorybetween identity and non-identity, to handle such cases systematically. Wepresent a typology of Near-Identity Relations (NIDENT) that includes fifteentypes―grouped under four main families―that capture a wide range of ways inwhich (near-)coreference relations hold between discourse entities. We validatethe theoretical model by annotating a small sample of real data and showingthat inter-annotator agreement is high enough for stability (K=0.58, and up toK=0.65 and K=0.84 when leaving out one and two outliers, respectively). Thiswork enables subsequent creation of the first internally consistent languageresource of this type through larger annotation efforts.
Language Discourse annotation, representation and processing
Topics Anaphora, Coreference, Corpus (creation, annotation, etc.), Discourse annotation, representation and processing
Full paper A Typology of Near-Identity Relations for Coreference (NIDENT)
Bibtex @InProceedings{RECASENS10.160,
  author = {Marta Recasens, Eduard Hovy and M. Antònia Martí},
  title = {A Typology of Near-Identity Relations for Coreference (NIDENT)},
  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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