2020
DOI: 10.48550/arxiv.2009.01312
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A Simple Global Neural Discourse Parser

Abstract: Discourse parsing is largely dominated by greedy parsers with manually-designed features, while global parsing is rare due to its computational expense. In this paper, we propose a simple chart-based neural discourse parser that does not require any manuallycrafted features and is based on learned span representations only. To overcome the computational challenge, we propose an independence assumption between the label assigned to a node in the tree and the splitting point that separates its children, which re… Show more

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References 15 publications
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