Cross-lingual RST Discourse Parsing

TitleCross-lingual RST Discourse Parsing
Publication TypeArticle dans des actes
Année de la conférence2017
AuthorsBraud, Chloé, Maximin Coavoux, and Anders Søgaard
Nom de la conférenceProceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
Date de publicationApril
PublisherAssociation for Computational Linguistics
Conference LocationValencia, Spain

Discourse parsing is an integral part of understanding information flow and argumentative structure in documents. Most previous research has focused on inducing and evaluating models from the English RST Discourse Treebank. However, discourse treebanks for other languages exist, including Spanish, German, Basque, Dutch and Brazilian Portuguese. The treebanks share the same underlying linguistic theory, but differ slightly in the way documents are annotated. In this paper, we present (a) a new discourse parser which is simpler, yet competitive (significantly better on 2/3 metrics) to state of the art for English, (b) a harmonization of discourse treebanks across languages, enabling us to present (c) what to the best of our knowledge are the first experiments on cross-lingual discourse parsing.