A Process for Extracting Knowledge Base for Chatbots from Text Corpora

被引：0
作者：
Krassmann, Aliane Loureiro [1 ]
Flach, Joao Marcos [2 ]
Cestari da Silva Grando, Anita Raquel [1 ]
Rockenbach Tarouco, Liane Margarida [1 ]
Bercht, Magda [1 ]
机构：
[1] Univ Fed Rio Grande do Sul, Grad Program Informat Educ, Porto Alegre, RS, Brazil
[2] Univ Fed Rio Grande do Sul, Informat Inst, Porto Alegre, RS, Brazil
来源：
PROCEEDINGS OF 2019 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON) | 2019年
关键词：
chatbots; AIML; knowledge base; text corpora; education; BOT;
D O I：
10.1109/educon.2019.8725064
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
This paper presents a process for extraction of AIML chatbot knowledge bases from text corpora using the AGATA (Automatic Generation of AIML from Text Acquisition) system, developed to facilitate and reduce the time needed in that task. In order to illustrate how the process works, a Pilot Study was carried out, which consisted of converting the content of two textbooks into the AIML language and sending the files to a chatbot knowledge base, being finally assessed by experts in the domain of the content. The results show the potential of helping teachers to easily create their own chatbots according to their course topics.
引用
收藏
页码：322 / 329
页数：8
相关论文
共 25 条
[1]  
AbuShawar B., 2005, HUMAN LANGUAGE TECHN, P274
[2]  
AbuShawar B., 2016, RE WOCHAT, P29
[3]  
Alencar Moarcio., 2014, CCIS, V460, P153, DOI [DOI 10.1007/978-3-662-44651-514, 10.1007/978-3-662-44651-514]
[4]  
[Anonymous], 1995, ALICE ARTIFICIAL LIN
[5]  
Atwell E., 2003, RES REPORT SERIES U
[6]  
BLOOM BS, 1984, EDUC LEADERSHIP, V41, P4
[7]  
Corbett A, 2001, LECT NOTES ARTIF INT, V2109, P137
[8]  
De Gasperis G., 2013, Artificial Intelligence, Evolutionary Computing and Metaheuristics, P287
[9]  
De Gasperis G, 2010, J E-LEARN KNOWL SOC, V6, P75
[10]  
Fletcher A, 2001, TLS-TIMES LIT SUPPL, P32
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