@inproceedings{amorim-etal-2025-visual,
    title = "Visual Representations of Temporal Relations between Events and Time Expressions in News Stories",
    author = "Amorim, Evelin  and
      Leal, Ant{\'o}nio  and
      Yu, Nana  and
      Silvano, Purifica{\c{c}}{\~a}o Moura  and
      Mario Jorge, Alipio",
    editor = "Peng, Siyao  and
      Rehbein, Ines",
    booktitle = "Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.law-1.20/",
    doi = "10.18653/v1/2025.law-1.20",
    pages = "250--263",
    ISBN = "979-8-89176-262-6",
    abstract = "High-quality annotation is paramount for effective predictions of machine learning models. When the annotation is dense, achieving superior human labeling can be challenging since the most used annotation tools present an overloaded visualization of labels. Thus, we present a tool for viewing annotations made in corpora, specifically for temporal relations between events and temporal expressions, filling a gap in this type of tool. We focus on narrative text, which is a rich source for these types of elements."
}