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The paper Natural Language Processing (almost) from Scratch describes chunking as:

Also called shallow parsing, chunking aims at labeling segments of a sentence with syntactic constituents such as noun or verb phrases (NP or VP). Each word is assigned only one unique tag, often encoded as a begin-chunk (e.g., B-NP) or inside-chunk tag (e.g., I-NP).