@inproceedings{wright-bettner-etal-2019-cross,
    title = "Cross-document coreference: An approach to capturing coreference without context",
    author = "Wright-Bettner, Kristin  and
      Palmer, Martha  and
      Savova, Guergana  and
      de Groen, Piet  and
      Miller, Timothy",
    editor = "Holderness, Eben  and
      Jimeno Yepes, Antonio  and
      Lavelli, Alberto  and
      Minard, Anne-Lyse  and
      Pustejovsky, James  and
      Rinaldi, Fabio",
    booktitle = "Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)",
    month = nov,
    year = "2019",
    address = "Hong Kong",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/build-pipeline-with-new-library/D19-6201/",
    doi = "10.18653/v1/D19-6201",
    pages = "1--10",
    abstract = "This paper discusses a cross-document coreference annotation schema that was developed to further automatic extraction of timelines in the clinical domain. Lexical senses and coreference choices are determined largely by context, but cross-document work requires reasoning across contexts that are not necessarily coherent. We found that an annotation approach that relies less on context-guided annotator intuitions and more on schematic rules was most effective in creating meaningful and consistent cross-document relations."
}