Shallow parsing refers to a class of techniques for identifying phrasal chunks in texts without assigning deep hierarchical structures. Cascaded finite-state models are often used for shallow parsing. Shallow parsing techniques are used because they are more time-efficient and more error-tolerant than ""deep"" parsers, and give rise to fewer ambiguities.
Chunking
The task/process of dividing a sentence into chunks (non-overlapping text segments consisting of a head and preceding function words and/or modifiers)
Shallow Parsing
Light parsing
Noun phrase chunking
Parsing
Named individual
Operation
Text Processing Collection
Operation Taxonomy