Discourse relations can either be implicit or explicitly expressed by markers, such as ’therefore’ and ’but’. How a speaker makes this choice is a question that is not well understood. We propose a psycholinguistic model that predicts whether a speaker will produce an explicit marker given the discourse relation s/he wishes to express. Based on the framework of the Rational Speech Acts model, we quantify the utility of producing a marker based on the information-theoretic measure of surprisal, the cost of production, and a bias to maintain uniform information density throughout the utterance. Experiments based on the Penn Discourse Treebank show that our approach outperforms state-of-the-art approaches, while giving an explanatory account of the speaker’s choice.
CITATION STYLE
Yung, F., Duh, K., Komura, T., & Matsumoto, Y. (2016). Modeling the usage of discourse connectives as rational speech acts. In CoNLL 2016 - 20th SIGNLL Conference on Computational Natural Language Learning, Proceedings (pp. 302–313). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/k16-1030
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