Empowering Conversational AI is a Trip to Mars: Progress and Future of Open Domain Human-Computer Dialogues

被引:0
|
作者
Yan, Rui [1 ,2 ]
Wu, Wei [3 ]
机构
[1] Renmin Univ China, Gaoling Sch Artificial Intelligence, Beijing, Peoples R China
[2] Peking Univ, Wangxuan Inst Comp Technol, Beijing, Peoples R China
[3] Microsoft Corp, Redmond, WA 98052 USA
基金
国家重点研发计划;
关键词
RESPONSE SELECTION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Dialogue systems powered by conversational artificial intelligence (AI) have never been so popular. Interacting with computer through languages reveals a more natural interface to give orders and acquire information-just like human communication. Due to promising potential as virtual assistants and/or social bots, major NLP, AI and even Search & Mining communities are explicitly calling-out for contributions of conversational studies. Learning towards real conversational intelligence is a trip to Mars; perhaps we are yet on Earth. We have achieved substantial progress from recent research outputs. Still we have major obstacles to overcome. In this paper, we present an overview of progress and look forward to future trends so as to shed light on possible directions towards success.
引用
收藏
页码:15078 / 15086
页数:9
相关论文
共 1 条
  • [1] Investigating Linguistic and Semantic Features for Turn-Taking Prediction in Open-Domain Human-Computer Conversation
    Razavi, S. Zahra
    Kane, Benjamin
    Schubert, Lenhart K.
    INTERSPEECH 2019, 2019, : 4140 - 4144