Summary of the paper

Title ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions
Authors Olga Uryupina, Ron Artstein, Antonella Bristot, Federica Cavicchio, Kepa Rodriguez and Massimo Poesio
Abstract This paper presents a second release of the ARRAU dataset: a multi-domain corpus with thorough linguistically motivated annotation of anaphora and related phenomena. Building upon the first release almost a decade ago, a considerable effort had been invested in improving the data both quantitatively and qualitatively. Thus, we have doubled the corpus size, expanded the selection of covered phenomena to include referentiality and genericity and designed and implemented a methodology for enforcing the consistency of the manual annotation. We believe that the new release of ARRAU provides a valuable material for ongoing research in complex cases of coreference as well as for a variety of related tasks. The corpus is publicly available through LDC.
Topics Anaphora, Coreference, Corpus (Creation, Annotation, etc.), Discourse Annotation, Representation and Processing
Full paper ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions
Bibtex @InProceedings{URYUPINA16.1121,
  author = {Olga Uryupina and Ron Artstein and Antonella Bristot and Federica Cavicchio and Kepa Rodriguez and Massimo Poesio},
  title = {ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
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