@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://aclanthology.org/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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Delexicalised Multilingual Discourse Segmentation for DISRPT 2021 and Tense, Mood, Voice and Modality Tagging for 11 Languages
%A Dönicke, Tillmann
%Y Zeldes, Amir
%Y Liu, Yang Janet
%Y Iruskieta, Mikel
%Y Muller, Philippe
%Y Braud, Chloé
%Y Badene, Sonia
%S Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021)
%D 2021
%8 November
%I Association for Computational Linguistics
%C Punta Cana, Dominican Republic
%F donicke-2021-delexicalised
%X 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.
%R 10.18653/v1/2021.disrpt-1.4
%U https://aclanthology.org/2021.disrpt-1.4
%U https://doi.org/10.18653/v1/2021.disrpt-1.4
%P 33-45
Markdown (Informal)
[Delexicalised Multilingual Discourse Segmentation for DISRPT 2021 and Tense, Mood, Voice and Modality Tagging for 11 Languages](https://aclanthology.org/2021.disrpt-1.4) (Dönicke, DISRPT 2021)
ACL