RST DT
material
ID: rstdt
Related Papers
How much progress have we made on RST discourse parsing? A replication study of recent results on the RST-DT
AbstractThis article evaluates purported progress over the past years in RST discourse parsing. Several studies report a relative error reduction of 24 to 51% on all metrics that authors attribute …...
Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining
AbstractRST-based discourse parsing is an important NLP task with numerous downstream applications, such as summarization, machine translation and opinion mining. In this paper, we demonstrate a simple, yet highly accurate …...
Adversarial Learning for Discourse Rhetorical Structure Parsing
AbstractText-level discourse rhetorical structure (DRS) parsing is known to be challenging due to the notorious lack of training data. Although recent top-down DRS parsers can better leverage global document context …...