Linguistic Models
A natural language consists of two parts:
- lexicon: vocabulary of the language
- grammar: set of rules to combine words from the lexicon in a meaningful way
Shallow Model
Machine Learning techniques in NLP are usually shallow
- don't care much about grammar
Shallow Parsing:
- JMLR Special Issue on Shallow Parsing [1]
- Machine Learning Approaches to Shallow Parsing [2]
Deep Model
- Deep linguistic processing is a natural language processing framework which draws on theoretical and descriptive linguistics.
- It models language predominantly by way of theoretical syntactic/semantic theory
Sources