@inproceedings{donicke-2021-delexicalised,
    title = "Delexicalised Multilingual Discourse Segmentation for {DISRPT} 2021 and Tense, Mood, Voice and Modality Tagging for 11 Languages",
    author = {D{\"o}nicke, Tillmann},
    editor = "Zeldes, Amir  and
      Liu, Yang Janet  and
      Iruskieta, Mikel  and
      Muller, Philippe  and
      Braud, Chlo{\'e}  and
      Badene, Sonia",
    booktitle = "Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021)",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2021.disrpt-1.4/",
    doi = "10.18653/v1/2021.disrpt-1.4",
    pages = "33--45",
    abstract = "This paper describes our participating system for the Shared Task on Discourse Segmentation and Connective Identification across Formalisms and Languages. Key features of the presented approach are the formulation as a clause-level classification task, a language-independent feature inventory based on Universal Dependencies grammar, and composite-verb-form analysis. The achieved F1 is 92{\%} for German and English and lower for other languages. The paper also presents a clause-level tagger for grammatical tense, aspect, mood, voice and modality in 11 languages."
}