Jia Zhu

Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation

2018 · Society for Industrial and Applied Mathematics eBooks

In this paper, we propose a personalized dialogue generation system, which combines reinforcement learning techniques with an attention-based hierarchical recurrent encoderdecoder model. Firstly, we incorporate user-specific information into the decoder to capture user's background information …

Generative Adversarial Network for Abstractive Text Summarization

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

In this paper, we propose an adversarial process for abstractive text summarization, in which we simultaneously train a generative model G and a discriminative model D. In particular, we build the generator G as an …