Alime chat: A sequence to sequence and rerank based chatbot engine
Proceedings of the 55th Annual Meeting of the Association for …, 2017•aclanthology.org
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.
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
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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