@inproceedings{yu-etal-2019-gunrock,
title = "{G}unrock: A Social Bot for Complex and Engaging Long Conversations",
author = "Yu, Dian and
Cohn, Michelle and
Yang, Yi Mang and
Chen, Chun Yen and
Wen, Weiming and
Zhang, Jiaping and
Zhou, Mingyang and
Jesse, Kevin and
Chau, Austin and
Bhowmick, Antara and
Iyer, Shreenath and
Sreenivasulu, Giritheja and
Davidson, Sam and
Bhandare, Ashwin and
Yu, Zhou",
editor = "Pad{\'o}, Sebastian and
Huang, Ruihong",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-3014",
doi = "10.18653/v1/D19-3014",
pages = "79--84",
abstract = "Gunrock is the winner of the 2018 Amazon Alexa Prize, as evaluated by coherence and engagement from both real users and Amazon-selected expert conversationalists. We focus on understanding complex sentences and having in-depth conversations in open domains. In this paper, we introduce some innovative system designs and related validation analysis. Overall, we found that users produce longer sentences to Gunrock, which are directly related to users{'} engagement (e.g., ratings, number of turns). Additionally, users{'} backstory queries about Gunrock are positively correlated to user satisfaction. Finally, we found dialog flows that interleave facts and personal opinions and stories lead to better user satisfaction.",
}
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<abstract>Gunrock is the winner of the 2018 Amazon Alexa Prize, as evaluated by coherence and engagement from both real users and Amazon-selected expert conversationalists. We focus on understanding complex sentences and having in-depth conversations in open domains. In this paper, we introduce some innovative system designs and related validation analysis. Overall, we found that users produce longer sentences to Gunrock, which are directly related to users’ engagement (e.g., ratings, number of turns). Additionally, users’ backstory queries about Gunrock are positively correlated to user satisfaction. Finally, we found dialog flows that interleave facts and personal opinions and stories lead to better user satisfaction.</abstract>
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%0 Conference Proceedings
%T Gunrock: A Social Bot for Complex and Engaging Long Conversations
%A Yu, Dian
%A Cohn, Michelle
%A Yang, Yi Mang
%A Chen, Chun Yen
%A Wen, Weiming
%A Zhang, Jiaping
%A Zhou, Mingyang
%A Jesse, Kevin
%A Chau, Austin
%A Bhowmick, Antara
%A Iyer, Shreenath
%A Sreenivasulu, Giritheja
%A Davidson, Sam
%A Bhandare, Ashwin
%A Yu, Zhou
%Y Padó, Sebastian
%Y Huang, Ruihong
%S Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F yu-etal-2019-gunrock
%X Gunrock is the winner of the 2018 Amazon Alexa Prize, as evaluated by coherence and engagement from both real users and Amazon-selected expert conversationalists. We focus on understanding complex sentences and having in-depth conversations in open domains. In this paper, we introduce some innovative system designs and related validation analysis. Overall, we found that users produce longer sentences to Gunrock, which are directly related to users’ engagement (e.g., ratings, number of turns). Additionally, users’ backstory queries about Gunrock are positively correlated to user satisfaction. Finally, we found dialog flows that interleave facts and personal opinions and stories lead to better user satisfaction.
%R 10.18653/v1/D19-3014
%U https://aclanthology.org/D19-3014
%U https://doi.org/10.18653/v1/D19-3014
%P 79-84
Markdown (Informal)
[Gunrock: A Social Bot for Complex and Engaging Long Conversations](https://aclanthology.org/D19-3014) (Yu et al., EMNLP-IJCNLP 2019)
ACL
- Dian Yu, Michelle Cohn, Yi Mang Yang, Chun Yen Chen, Weiming Wen, Jiaping Zhang, Mingyang Zhou, Kevin Jesse, Austin Chau, Antara Bhowmick, Shreenath Iyer, Giritheja Sreenivasulu, Sam Davidson, Ashwin Bhandare, and Zhou Yu. 2019. Gunrock: A Social Bot for Complex and Engaging Long Conversations. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, pages 79–84, Hong Kong, China. Association for Computational Linguistics.