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

页码：322 / 329

页数：8

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