Survey on Retrieval-based Chatbots

With the rapid progress of natural language processing techniques and the massive accessible conversational data on Internet, non-tasked oriented dialogue systems, also referred to as Chatbots, have achieved great success, and drawn attention from both academia and industry.Currently, there are two...

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Bibliographic Details
Published inJi suan ji ke xue Vol. 48; no. 12; pp. 278 - 285
Main Authors Wu, Yu, Li, Zhou-jun
Format Journal Article
LanguageChinese
Published Chongqing Guojia Kexue Jishu Bu 01.12.2021
Editorial office of Computer Science
Subjects
Chatbots
Modules
Natural language processing
natural language processing|chatbot|text matching|response selection|pre-training technology
Network latency
Neural networks
Retrieval
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Summary:With the rapid progress of natural language processing techniques and the massive accessible conversational data on Internet, non-tasked oriented dialogue systems, also referred to as Chatbots, have achieved great success, and drawn attention from both academia and industry.Currently, there are two lines in chatbots research, retrieval-based chatbots and generation-based chatbots.Due to the fluent responses and low latency, retrieval-based chatbots is a common method in practice.This paper first briefly introduces the research background, basic structure and component modules of retrieval-based chatbots, and then illustrates the constraints of the response selection module and related data set in details.Subsequently, we summarize recent popular techniques for response selection problem, including: statistic method, representation-based neural network method, interaction-based neural network method, and pre-training-based method.Finally, we pose the challenges of chatbots and outline promising directions as f
ISSN:1002-137X
DOI:10.11896/jsjkx.210900250