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Multilingual Neural RST Discourse Parsing
[article]
2020
arXiv
pre-print
Text discourse parsing plays an important role in understanding information flow and argumentative structure in natural language. Previous research under the Rhetorical Structure Theory (RST) has mostly focused on inducing and evaluating models from the English treebank. However, the parsing tasks for other languages such as German, Dutch, and Portuguese are still challenging due to the shortage of annotated data. In this work, we investigate two approaches to establish a neural, cross-lingual
arXiv:2012.01704v1
fatcat:rfx4sqosife7fdc5zn7yaxz3qu