Neural RST-based Evaluation of Discourse Coherence

This paper evaluates the utility of Rhetorical Structure Theory (RST) trees and relations in discourse coherence evaluation. We show that incorporating silver-standard RST features can increase accuracy when classifying coherence. We demonstrate this through our tree-recursive neural model, namely R...

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Hauptverfasser:	Guz, Grigorii, Bateni, Peyman, Muglich, Darius, Carenini, Giuseppe
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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