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A conversational agent (chatbot) is a piece of software that is able to communicate with humans using natural language.
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Generative adversarial nets
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Evaluating prerequisite qualities for learning end-to-end dialog systems
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A diversity-promoting objective function for neural conversation models
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The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems
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Effective approaches to attention-based neural machine translation
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Human-level control through deep reinforcement learning
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A survey of available corpora for building data-driven dialogue systems
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Neural responding machine for short-text conversation
Shang, L., Lu, Z., and Li, H. (2015) · 2015
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A neural network approach to context-sensitive generation of conversational responses
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End-to-end memory networks
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Towards ai-complete question answering: A set of prerequisite toy tasks
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Convolutional sequence to sequence learning
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A knowledge-grounded neural conversation model
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Attention with intention for a neural network conversation model
Yao, K., Zweig, G., and Peng, B. (2015) · 2015
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Ba, J. L., Kiros, J. R., and Hinton, G. E. (2016) · 2016
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Learning end-to-end goal-oriented dialog
Bordes, A., Boureau, Y.-L., and Weston, J. (2016) · 2016
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Long short-term memory-networks for machine reading
Cheng, J., Dong, L., and Lapata, M. (2016) · 2016
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Incorporating copying mechanism in sequence-to-sequence learning
Gu, J., Lu, Z., Li, H., and Li, V. O. (2016) · 2016
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J. (2016) · 2016
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Can active memory replace attention?
Kaiser, Ł. and Bengio, S. (2016) · 2016
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Goyal, K., Neubig, G., Dyer, C., and Berg-Kirkpatrick, T. (2017) · 2017
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Emergence of language with multi-agent games: Learning to communicate with sequences of symbols
Havrylov, S. and Titov, I. (2017) · 2017
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Enterprise to computer: Star trek chatbot
Jena, G., Vashisht, M., Basu, A., Ungar, L., and Sedoc, J. (2017) · 2017
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Personalization in goal-oriented dialog
Joshi, C. K., Mi, F., and Faltings, B. (2017) · 2017
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Batch policy gradient methods for improving neural conversation models
Kandasamy, K., Bachrach, Y., Tomioka, R., Tarlow, D., and Carter, D. (2017) · 2017
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Neural amr: Sequence-to-sequence models for parsing and generation
Konstas, I., Iyer, S., Yatskar, M., Choi, Y., and Zettlemoyer, L. (2017) · 2017
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Natural language does not emerge’naturally’in multi-agent dialog
Kottur, S., Moura, J. M., Lee, S., and Batra, D. (2017) · 2017
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Adversarial learning for neural dialogue generation
Li, J., Monroe, W., Shi, T., Ritter, A., and Jurafsky, D. (2017) · 2017
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A structured self-attentive sentence embedding
Lin, Z., Feng, M., Santos, C. N. d., Yu, M., Xiang, B., Zhou, B., and Bengio, Y. (2017) · 2017
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Not all dialogues are created equal: Instance weighting for neural conversational models
Lison, P. and Bibauw, S. (2017) · 2017
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Towards an automatic turing test: Learning to evaluate dialogue responses
Lowe, R., Noseworthy, M., Serban, I. V., Angelard-Gontier, N., Bengio, Y., and Pineau, J. (2017) · 2017
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Microsoft bot framework
Microsoft (2017b) · 2017
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Parlai: A dialog research software platform
Miller, A. H., Feng, W., Fisch, A., Lu, J., Batra, D., Bordes, A., Parikh, D., and Weston, J. (2017) · 2017
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Understanding lstm networks
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Opensubtitles
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A deep reinforced model for abstractive summarization
Paulus, R., Xiong, C., and Socher, R. (2017) · 2017
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Optimizing expected word error rate via sampling for speech recognition
Shannon, M. (2017) · 2017
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Generating high-quality and informative conversation responses with sequence-to-sequence models
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Outrageously large neural networks: The sparsely-gated mixture-of-experts layer
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A conditional variational framework for dialog generation
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Mastering the game of go without human knowledge
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Cold fusion: Training seq2seq models together with language models
Sriram, A., Jun, H., Satheesh, S., and Coates, A. (2017) · 2017
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Ruber: An unsupervised method for automatic evaluation of open-domain dialog systems
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Sequence-to-sequence models
Tensorflow (2017) · 2017
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Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., and Polosukhin, I. (2017) · 2017
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Deepprobe: Information directed sequence understanding and chatbot design via recurrent neural networks
Yin, Z., Chang, K.-h., and Zhang, R. (2017) · 2017
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Learning conversational systems that interleave task and non-task content
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Emotional chatting machine: Emotional conversation generation with internal and external memory
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Character sequence-to-sequence model with global attention for universal morphological reinflection
Zhu, Q., Li, Y., and Li, X. (2017) · 2017
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An empirical analysis of word error rate and keyword error rate
Park, Y., Patwardhan, S., Visweswariah, K., and Gates, S. C. (2008) · 2073
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