PDTB

In this paper we examine the issues that arise from the annotation of the discourse connectives for the Chinese Discourse Treebank Project. This project is based on the same principles …...

To overcome the shortage of labeled data for implicit discourse relation recogni- tion, previous works attempted to auto- matically generate training data by remov- ing explicit discourse connectives from sentences …...

AbstractWe present a novel multi-task attention based neural network model to address implicit discourse relationship representation and identification through two types of representation learning, an attention based neural network for …...

AbstractImplicit discourse relation recognition aims to understand and annotate the latent relations between two discourse arguments, such as temporal, comparison, etc. Most previous methods encode two discourse arguments separately, the …...

AbstractImplicit discourse relation recognition (IDRR) remains a challenging task in discourse analysis due to the absence of connectives. Most existing methods utilize one-hot labels as the sole optimization target, ignoring …...