This tutorial introduces a comprehensive and comparative review on spoken language understanding (SLU), which aims to extract semantic constituents from the natural language utterances in task-oriented dialogue system that serves as a major goal of artificial intelligence. The discussion covers the scope of background, development, influence, datasets, new taxonomy for state-of-the-art techniques, recent trends and challenges.