Table of Contents

• Preface
• Acknowledgments
• Introduction
• Related Learning Paradigms
• Lifelong Supervised Learning
• Lifelong Unsupervised Learning
• Lifelong Semi-supervised Learning for Information Extraction
• Lifelong Reinforcement Learning
• Conclusion and Future Directions
• Bibliography
• Authors' Biographies

About the Author

Zhiyuan Chen completed his Ph.D. at the University of Illinois at Chicago (UIC) under the direction of Professor Bing Liu. He joined Google in 2016. His Ph.D. thesis title was "Lifelong Machine Learning for Topic Modeling and Classification." His research interests include machine learning, natural language processing, text mining, and data mining. He has proposed several lifelong machine learning algorithms to automatically mine information from text documents, and published more than 15 full research papers in premier conferences such as KDD, ICML, ACL, WWW, IJCAI, and AAAI. He has given three tutorials about lifelong machine learning at IJCAI-2015, KDD-2016, and EMNLP-2016. He has served as a PC member for many prestigious natural language processing, data mining, AI, and Web research conferences. In recognition of his academic contributions, he was awarded Fifty For The Future(c) from Illinois Technology Foundation in 2015.