Survey on Intelligent Chatbots: State-of-the-Art and Future Research Directions

被引:39
作者
Almansor, Ebtesam H. [1 ,2 ]
Hussain, Farookh Khadeer [1 ]
机构
[1] Univ Technol Sydney, Fac Engn & Informat Technol, Sydney, NSW, Australia
[2] Najran Univ, Community Coll, Najran, Saudi Arabia
来源
COMPLEX, INTELLIGENT, AND SOFTWARE INTENSIVE SYSTEMS (CISIS 2019) | 2020年 / 993卷
关键词
Conversation system; Chatbot; Responses generating approach; COMMUNICATION;
D O I
10.1007/978-3-030-22354-0_47
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Human-computer interaction (HCI) is an area of interest which plays a major role in understanding the interaction between humans and machines. Dialogue systems or conversational systems including chatbots, voice control interfaces and personal assistants are examples of HCI application that have been developed to interact with users using natural language. Chatbots can help customers find useful information for their needs. Thus, numerous organizations are using chatbots to automate their customer service. Thus, the needs for using artificial intelligence has been increasing due to the needs of automated services. However, devolving smart bots that can respond at the human level is challenging. In this paper, we survey the state-of-art chatbot approaches from based on the ability to generate appropriate responses perspective. After summarizing the review from this aspect, we identify the research issues and challenges in chatbots. The findings of this research will highlight directions for future work.
引用
收藏
页码:534 / 543
页数:10
相关论文
共 66 条
[41]  
Lu Z., 2016, NTCIR
[42]  
Martinez FF, 2008, 2008 IEEE WORKSHOP ON SPOKEN LANGUAGE TECHNOLOGY: SLT 2008, PROCEEDINGS, P137, DOI 10.1109/SLT.2008.4777859
[43]   Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding [J].
Mesnil, Gregoire ;
Dauphin, Yann ;
Yao, Kaisheng ;
Bengio, Yoshua ;
Deng, Li ;
Hakkani-Tur, Dilek ;
He, Xiaodong ;
Heck, Larry ;
Tur, Gokhan ;
Yu, Dong ;
Zweig, Geoffrey .
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2015, 23 (03) :530-539
[44]  
Moller S., 2003, ITU T RECOMMENDATION, P851
[45]  
Rai Siddhant, 2018, 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), P1367, DOI 10.1109/ICECA.2018.8474861
[46]  
Ritter Alan, 2010, Unsupervised modeling of Twitter conversations, P172
[47]  
Roy N, 2000, 38TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE, P93
[48]  
Sandbank T., 2017, ARXIV171105780
[49]  
Schmitt A., 2011, 2011 IEEE JORD C APP, P1
[50]  
Schmitt Alexander, 2011, P SIGDIAL 2011 C, P173