@inproceedings{wan-etal-2019-rst,
    title = "{RST}-Tace A tool for automatic comparison and evaluation of {RST} trees",
    author = {Wan, Shujun  and
      Kutschbach, Tino  and
      L{\"u}deling, Anke  and
      Stede, Manfred},
    editor = "Zeldes, Amir  and
      Das, Debopam  and
      Galani, Erick Maziero  and
      Antonio, Juliano Desiderato  and
      Iruskieta, Mikel",
    booktitle = "Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019",
    month = jun,
    year = "2019",
    address = "Minneapolis, MN",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W19-2712/",
    doi = "10.18653/v1/W19-2712",
    pages = "88--96",
    abstract = "This paper presents RST-Tace, a tool for automatic comparison and evaluation of RST trees. RST-Tace serves as an implementation of Iruskieta{'}s comparison method, which allows trees to be compared and evaluated without the influence of decisions at lower levels in a tree in terms of four factors: constituent, attachment point, nuclearity as well as relation. RST-Tace can be used regardless of the language or the size of rhetorical trees. This tool aims to measure the agreement between two annotators. The result is reflected by F-measure and inter-annotator agreement. Both the comparison table and the result of the evaluation can be obtained automatically."
}