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From Zhang et al. (2015)[1]: "Discourse relation recognition (DRR) aims to automatically identify the internal structure and logical relation- ship of coherent text. [...] implicit DRR remains a serious challenge because of the absence of discourse connectives."

An example from Penn Discourse Treebank:

Arg1: (But) our competitions say we overbid them Arg2: who cares

The connective "but" was manually inserted to indicate comparison relation.

Approaches:

  • Zhang et al. (2015)[1] uses two convolutional neural networks over two candidate text, followed by one hidden layer and a softmax layer.

References Edit

  1. 1.0 1.1 Zhang, B., Su, J., Xiong, D., Lu, Y., Duan, H., & Yao, J. (2015). Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (pp. 2230-2235).