Exploring NLP with Coursera - Part 5
Sequence tagging with Probabilistic Models
Basically sequence tagging is used in real-world use cases where for example we need to find named entities in a sentence (e.g. Person, City, Date) or find out parts of speeches (e.g. Verb, Noun, Adj, etc.).
There are various approaches to sequence labeling:
- Rule-based models (not covered in this course)
- Separate label classifiers for each taken (classification approachh)
- Sequence models (HMM, MEMM, CRF) - topic of this lecture
- Neural Networks