The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
Open accessAbstract
We investigate the task of building open domain, conversational dialogue systems based on large dialogue corpora using generative models. Generative models produce system responses that are autonomously generated word-by-word, opening up the possibility for realistic, flexible interactions. In support of this goal, we extend the recently proposed hierarchical recurrent encoder-decoder neural network to the dialogue domain, and demonstrate that this model is competitive with state-of-the-art neural language models and back-off n-gram models. We investigate the limitations of this and similar approaches, and show how its performance can be improved by bootstrapping the learning from a larger question-answer pair corpus and from pretrained word embeddings.
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Recurrent neural network based language model
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Cited by
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
Young, T., Hazarika, D., Poria, S., & Cambria, E. (2018) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2018.2840738 · Cited by 2,921
A Diversity-Promoting Objective Function for Neural Conversation Models
Li, J., Galley, M., Brockett, C., Gao, J., & Dolan, B. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · doi:10.18653/v1/n16-1014 · Cited by 1,926
A Persona-Based Neural Conversation Model
Li, J., Galley, M., Brockett, C., Spithourakis, G., Gao, J., & Dolan, B. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p16-1094 · Cited by 898
Sequence-Level Knowledge Distillation
Kim, Y., & Rush, A. M. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d16-1139 · Cited by 836
The design and implementation of Xiaoice, an empathetic social chatbot
Zhou, L., Gao, J., Li, D., & Shum, H.-Y. (2020) · Computational Linguistics · doi:10.1162/coli_a_00368 · Cited by 777
Metadata
- Authors
- Serban, I., Sordoni, A., Bengio, Y., Courville, A., & Pineau, J.
- Venue
- Proceedings of the AAAI Conference on Artificial Intelligence
- Published
- 2016-03-05
- Volume
- 30
- Issue
- 1
- ISSN
- 2374-3468
- 2159-5399
- OpenAlex
- W2962883855
- Cited by
- 1,615
- References
- 11
- FWCI
- 206.37
- Type
- journal article
- Language
- en
- Open access
- green
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- Serban, I., Sordoni, A., Bengio, Y., Courville, A., & Pineau, J. (2016). Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models. Proceedings of the AAAI Conference on Artificial Intelligence. https://doi.org/10.1609/aaai.v30i1.9883
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