@inproceedings{qiu-etal-2017-alime,
title = "{A}li{M}e Chat: A Sequence to Sequence and Rerank based Chatbot Engine",
author = "Qiu, Minghui and
Li, Feng-Lin and
Wang, Siyu and
Gao, Xing and
Chen, Yan and
Zhao, Weipeng and
Chen, Haiqing and
Huang, Jun and
Chu, Wei",
editor = "Barzilay, Regina and
Kan, Min-Yen",
booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
month = jul,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P17-2079",
doi = "10.18653/v1/P17-2079",
pages = "498--503",
abstract = "We propose AliMe Chat, an open-domain chatbot engine that integrates the joint results of Information Retrieval (IR) and Sequence to Sequence (Seq2Seq) based generation models. AliMe Chat uses an attentive Seq2Seq based rerank model to optimize the joint results. Extensive experiments show our engine outperforms both IR and generation based models. We launch AliMe Chat for a real-world industrial application and observe better results than another public chatbot.",
}
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<abstract>We propose AliMe Chat, an open-domain chatbot engine that integrates the joint results of Information Retrieval (IR) and Sequence to Sequence (Seq2Seq) based generation models. AliMe Chat uses an attentive Seq2Seq based rerank model to optimize the joint results. Extensive experiments show our engine outperforms both IR and generation based models. We launch AliMe Chat for a real-world industrial application and observe better results than another public chatbot.</abstract>
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%0 Conference Proceedings
%T AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine
%A Qiu, Minghui
%A Li, Feng-Lin
%A Wang, Siyu
%A Gao, Xing
%A Chen, Yan
%A Zhao, Weipeng
%A Chen, Haiqing
%A Huang, Jun
%A Chu, Wei
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F qiu-etal-2017-alime
%X We propose AliMe Chat, an open-domain chatbot engine that integrates the joint results of Information Retrieval (IR) and Sequence to Sequence (Seq2Seq) based generation models. AliMe Chat uses an attentive Seq2Seq based rerank model to optimize the joint results. Extensive experiments show our engine outperforms both IR and generation based models. We launch AliMe Chat for a real-world industrial application and observe better results than another public chatbot.
%R 10.18653/v1/P17-2079
%U https://aclanthology.org/P17-2079
%U https://doi.org/10.18653/v1/P17-2079
%P 498-503
Markdown (Informal)
[AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine](https://aclanthology.org/P17-2079) (Qiu et al., ACL 2017)
ACL
- Minghui Qiu, Feng-Lin Li, Siyu Wang, Xing Gao, Yan Chen, Weipeng Zhao, Haiqing Chen, Jun Huang, and Wei Chu. 2017. AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 498–503, Vancouver, Canada. Association for Computational Linguistics.