Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss

Author:

Jiang Shaojie1,Ren Pengjie1,Monz Christof1,de Rijke Maarten1

Affiliation:

1. University of Amsterdam, Netherlands

Publisher

ACM Press

Reference19 articles.

1. Shaojie Jiang and Maarten de Rijke. 2018. Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. In Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI(SCAI '18).

2. Diederik P Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In International Conference on Learning Representations(ICLR '15).

3. Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016. A Diversity-Promoting Objective Function for Neural Conversation Models. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies(NAACL-HLT '16). 110-119.

4. Ziming Li, Julia Kiseleva, and Maarten de Rijke. 2019. Dialogue generation: From imitation learning to inverse reinforcement learning. In AAAI 2019: 33rd AAAI Conference on Artificial Intelligence. AAAI.

5. Chia-Wei Liu, Ryan Lowe, Iulian Serban, Michael Noseworthy, Laurent Charlin, and Joelle Pineau. 2016. How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing(EMNLP '16). 2122-2132.

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