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        <title>Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots</title>
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    <name type="personal">
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    <name type="personal">
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    <abstract>We propose a method that can leverage unlabeled data to learn a matching model for response selection in retrieval-based chatbots. The method employs a sequence-to-sequence architecture (Seq2Seq) model as a weak annotator to judge the matching degree of unlabeled pairs, and then performs learning with both the weak signals and the unlabeled data. Experimental results on two public data sets indicate that matching models get significant improvements when they are learned with the proposed method.</abstract>
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%0 Conference Proceedings
%T Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots
%A Wu, Yu
%A Wu, Wei
%A Li, Zhoujun
%A Zhou, Ming
%Y Gurevych, Iryna
%Y Miyao, Yusuke
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F wu-etal-2018-learning
%X We propose a method that can leverage unlabeled data to learn a matching model for response selection in retrieval-based chatbots. The method employs a sequence-to-sequence architecture (Seq2Seq) model as a weak annotator to judge the matching degree of unlabeled pairs, and then performs learning with both the weak signals and the unlabeled data. Experimental results on two public data sets indicate that matching models get significant improvements when they are learned with the proposed method.
%R 10.18653/v1/P18-2067
%U https://aclanthology.org/P18-2067
%U https://doi.org/10.18653/v1/P18-2067
%P 420-425

Markdown (Informal)

[Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots](https://aclanthology.org/P18-2067) (Wu et al., ACL 2018)

• Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots (Wu et al., ACL 2018)

ACL

• Yu Wu, Wei Wu, Zhoujun Li, and Ming Zhou. 2018. Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 420–425, Melbourne, Australia. Association for Computational Linguistics.