Jaicob: A Data Science Chatbot
IEEE ACCESS(2020)
摘要
The application of natural language to improve students' interaction with information systems is demonstrated to be beneficial. In particular, advances in cognitive computing enable a new way of interaction that accelerates insight from existing information sources, thereby contributing to the process of learning. This work aims at researching the application of cognitive computing in blended learning environments. We propose a modular cognitive agent architecture for pedagogical question answering, featuring social dialogue (small talk), improved for a specific knowledge domain. This system has been implemented as a personal agent to assist students in learning Data Science and Machine Learning techniques. Its implementation includes the training of machine learning models and natural language understanding algorithms in a human-like interface. The effectiveness of the system has been validated through an experiment.
更多查看译文
关键词
Machine learning, Terminology, Data science, Natural languages, Cognitive systems, Computer architecture, Documentation, Cognitive informatics, educational technology, human-computer interaction, machine learning, natural language processing
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络