Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification

WS 2019 Wei ShiFrances YungVera Demberg

Implicit discourse relation classification is one of the most challenging and important tasks in discourse parsing, due to the lack of connective as strong linguistic cues. A principle bottleneck to further improvement is the shortage of training data (ca.~16k instances in the PDTB)... (read more)

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