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arXiv · 1805.03766

Discourse-Aware Neural Rewards for Coherent Text Generation

Antoine Bosselut·Asli Celikyilmaz·Xiaodong He·Jianfeng Gao·Po-Sen Huang·Yejin Choi
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Abstract

In this paper, we investigate the use of discourse-aware rewards with reinforcement learning to guide a model to generate long, coherent text. In particular, we propose to learn neural rewards to model cross-sentence ordering as a means to approximate desired discourse structure. Empirical results demonstrate that a generator trained with the learned reward produces more coherent and less repetitive text than models trained with cross-entropy or with reinforcement learning with commonly used scores as rewards.

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Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi. 2018-05-10. Discourse-Aware Neural Rewards for Coherent Text Generation. https://arxiv.org/abs/1805.03766

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