@inproceedings{poesio-etal-2018-anaphora,
    title = "Anaphora Resolution with the {ARRAU} Corpus",
    author = "Poesio, Massimo  and
      Grishina, Yulia  and
      Kolhatkar, Varada  and
      Moosavi, Nafise  and
      Roesiger, Ina  and
      Roussel, Adam  and
      Simonjetz, Fabian  and
      Uma, Alexandra  and
      Uryupina, Olga  and
      Yu, Juntao  and
      Zinsmeister, Heike",
    editor = "Poesio, Massimo  and
      Ng, Vincent  and
      Ogrodniczuk, Maciej",
    booktitle = "Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/build-pipeline-with-new-library/W18-0702/",
    doi = "10.18653/v1/W18-0702",
    pages = "11--22",
    abstract = "The ARRAU corpus is an anaphorically annotated corpus of English providing rich linguistic information about anaphora resolution. The most distinctive feature of the corpus is the annotation of a wide range of anaphoric relations, including bridging references and discourse deixis in addition to identity (coreference). Other distinctive features include treating all NPs as markables, including non-referring NPs; and the annotation of a variety of morphosyntactic and semantic mention and entity attributes, including the genericity status of the entities referred to by markables. The corpus however has not been extensively used for anaphora resolution research so far. In this paper, we discuss three datasets extracted from the ARRAU corpus to support the three subtasks of the CRAC 2018 Shared Task--identity anaphora resolution over ARRAU-style markables, bridging references resolution, and discourse deixis; the evaluation scripts assessing system performance on those datasets; and preliminary results on these three tasks that may serve as baseline for subsequent research in these phenomena."
}