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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Published in | Ji suan ji ke xue Vol. 48; no. 12; pp. 278 - 285 |
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Main Authors | , |
Format | Journal Article |
Language | Chinese |
Published |
Chongqing
Guojia Kexue Jishu Bu
01.12.2021
Editorial office of Computer Science |
Subjects | |
Online Access | Get full text |
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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 |
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ISSN: | 1002-137X |
DOI: | 10.11896/jsjkx.210900250 |