Cross-lingual RST Discourse Parsing

About

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.

Chloé Braud, Maximin Coavoux, Anders S\ogaard · 2017

Related benchmarks

Task	Dataset	Result
RST Discourse Parsing	RST-DT Parseval (test)	Span (S) Score81.3	32
RST Parsing	RST-DT original Parseval (test)	Span F162.7	28
Structure Prediction	RST-DT	Micro F181.3	24
Discourse Parsing	En-DT English (test)	Span85.1	8
Discourse Parsing	Pt-DT Brazilian Portuguese (test)	Span Score82	6
Discourse Parsing	Es-DT Spanish (test)	Span89.7	6
Discourse Parsing	De-DT German (test)	Span Score80.2	5
Discourse Parsing	NI-DT Dutch (test)	Span69.5	4
Discourse Parsing	Eu-DT Basque (test)	Span78.7	4