I&#39;m currently taking a Natural Language Processing course at my University and still confused with some basic concept. I get the definition of POS Tagging from the [Foundations of Statistical Natural Language Processing][1] book:

&gt; Tagging is the task of labeling (or tagging) each word in a sentence
with its appropriate part of speech. We decide whether each word is a
noun, verb, adjective, or whatever.

But I can&#39;t find a definition of Shallow Parsing in the book since it also describe shallow parsing as one of the utilities of POS Tagging. So I began to search the web and found no direct explanation of shallow parsing, but in [Wikipedia][2]:

&gt; Shallow parsing (also chunking, &quot;light parsing&quot;) is an analysis of a sentence which identifies the constituents (noun groups, verbs, verb groups, etc.), but does not specify their internal structure, nor their role in the main sentence.

I frankly don&#39;t see the difference, but it may be because of my English or just me not understanding simple basic concept. Can anyone please explain the difference between shallow parsing and POS Tagging? Is shallow parsing often also called Shallow Semantic Parsing?

Thanks before.


  [1]: http://www-nlp.stanford.edu/fsnlp/
  [2]: http://en.wikipedia.org/wiki/Shallow_parsing

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What Is the Difference Between POS Tagging and Shallow Parsing?