  A lack of large-scale human-annotated data has hampered the hierarchical
discourse parsing of Chinese. In this paper, we present GCDT, the largest
hierarchical discourse treebank for Mandarin Chinese in the framework of
Rhetorical Structure Theory (RST). GCDT covers over 60K tokens across five
genres of freely available text, using the same relation inventory as
contemporary RST treebanks for English. We also report on this dataset's
parsing experiments, including state-of-the-art (SOTA) scores for Chinese RST
parsing and RST parsing on the English GUM dataset, using cross-lingual
training in Chinese and English with multilingual embeddings.
