End-to-end Conversation Modeling Track in DSTC6

O. Vinyals and Q. Le, “A neural conversational model,”

Original

2015

Earlier work this paper cites.

R. Lowe, N. Pow, I. Serban, and J. Pineau, “The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems,”

Original

2015

Earlier work this paper cites.

P. Lison and J. Tiedemann, “Opensubtitles2016: Extracting large parallel corpora from movie and tv subtitles,” in

2016

Earlier work this paper cites.

C.-W. Liu, R. Lowe, I. V. Serban, M. Noseworthy, L. Charlin, and J. Pineau, “How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation,”

Original

2016

Earlier work this paper cites.

M. Ghazvininejad, C. Brockett, M.-W. Chang, B. Dolan, J. Gao, W.-t. Yih, and M. Galley, “A knowledge-grounded neural conversation model,”

Original

2017

Cited alongside, same era.

“DSTC6 Dialog System Technology Challenges,”

2017

Cited alongside, same era.

T. Hori, “DSTC6 end-to-end conversation modeling track: tools and baseline system,”

2017

Cited alongside, same era.

W. Wang, Y. Koji, B. Harsham, T. Hori, and J. R. Hershey, “Sequence adversarial training and minimum Bayes risk decoding for end-to-end neural conversation models,” in

2017

Cited alongside, same era.

Y. Long, J. Wang, Z. Xu, Z. Wang, and B. Wang, “A knowledge enhanced generative conversational service agent,” in

2017

Closest in time.

Z. Bairong, W. Wenbo, L. Zhiyu, Z. Chonghui, and T. Shinozaki, “Comparative analysis of word embedding methods for DSTC6 end-to-end conversation modeling track,” in

2017

Closest in time.

M. Galley and C. Brockett, “The MSR-NLP system at dialog system technology challenges 6,” in

2017

Closest in time.

S. Sharma, L. El Asri, H. Schulz, and J. Zumer, “Relevance of unsupervised metrics in task-oriented dialogue for evaluating natural language generation,”

Original

2017

Closest in time.