data2019/nld.rst.nldt/README.md

nld.rst.nldt

Dutch Discourse Treebank (NLDT)

Description

Citation: Gisela Redeker, Ildikó Berzlánovich, Nynke van der Vliet, Gosse Bouma and Markus Egg (2012). Multi-Layer Discourse Annotation of a Dutch Text Corpus. In: Proceedings of LREC 2012. Istanbul, Turkey, 2820-2825.

NLDT is a corpus of 80 Dutch texts from expository texts (encyclopedias and science news web pages) and persuasive genres (fund-raising letters and commercial advertisements), which were annotated for rhetorical and genre-specific discourse structure, and lexical cohesion with the goal of creating a gold standard for further research. The annotations are based on a segmentation of the texts into elementary discourse units that takes into account cues from syntax and punctuation.

DISRPT 2019 shared task information

For the DISRPT 2019 shared task on elementary discourse unit segmentation, train/dev/test partitions were balanced for genre. Syntactic parses in UD were provided by the original team, with the modification that empty/ellipsis nodes (with decimal point IDs such as 10.1) were eliminated in order to match the format of other corpora in the shared task.