In this chapter, we will cover the following recipes:
Interesting phrase detection
Foreground- or background-driven interesting phrase detection
Hidden Markov Models (HMM) – part-of-speech
N-best word tagging
Confidence-based tagging
Training word tagging
Word-tagging evaluation
Conditional random fields (CRF) for word/token tagging
Modifying CRFs