An Ensemble Approach to Conversation Generation
An Ensemble Approach to Conversation Generation
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DOI：
10.1007/978-3-319-73618-1_5
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发表时间：
2017-11
期刊：
影响因子：
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通讯作者：
Yimeng Zhuang;Xianliang Wang;Han Zhang;Jinghui Xie;Xuan Zhu
中科院分区：
文献类型：
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作者：
Yimeng Zhuang;Xianliang Wang;Han Zhang;Jinghui Xie;Xuan Zhu
转换生成作为人机交互的重要环节，近年来受到了广泛的关注，并呈上升趋势。本文详细介绍了一种用于短文本会话生成的集成系统。该系统由四个子系统组成，即快速响应候选人选择模块、信息检索系统、基于生成的系统和集成模块。该系统的一个优点是考虑了生成的响应的多个版本，从而产生更可靠的输出。在NLPCC 2017共享任务“情感会话生成挑战”中，集成系统为中文SNS帖子生成合适的回复，并在参与者列表中排名第一。
As an important step of human-computer interaction, conversion generation has attracted much attention and has a rising tendency in recent years. This paper gives a detailed description about an ensemble system for short text conversation generation. The proposed system consists of four subsystems, a quick response candidates selecting module, an information retrieval system, a generation-based system and an ensemble module. An advantage of this system is that multiple versions of generated responses are taken into account resulting a more reliable output. In the NLPCC 2017 shared task “Emotional Conversation Generation Challenge”, the ensemble system generates appropriate responses for Chinese SNS posts and ranks at the top of participant list.