Comparer des méthodes

	Chunking	Reconnaissance d'entités nommées (REN)
Domaine	Fouille de textes	Fouille de textes
Famille	Process / pipeline	Process / pipeline
Année d'origine	1991	—
Auteur d'origine	Steven Abney	—
Type	NLP partial-parsing task	NLP sequence-labelling task
Source fondatrice	Abney, S. (1991). Parsing by Chunks. In Principle-Based Parsing. Kluwer Academic Publishers. ISBN: 978-0-7923-1173-4	Nadeau, D. & Sekine, S. (2007). A survey of named entity recognition. Lingvisticae Investigationes.
Alias	shallow parsing, partial parsing, Yüzeysel Ayrıştırma (Chunking)	NER, entity tagging, Adlandırılmış Varlık Tanıma (NER)
Apparentées	4	3
Résumé	Chunking, also called shallow parsing, is a natural-language-processing task introduced by Steven Abney in 1991 that divides text into grammatical pieces — such as noun phrases and verb phrases — using part-of-speech tags. It extracts useful syntactic structure quickly without building a full parse tree of the sentence.	Named entity recognition (NER) is a natural-language-processing task that automatically detects and labels entities in text — such as people, organisations, locations, and dates. Surveyed by Nadeau and Sekine (2007) and later advanced with neural architectures by Lample et al. (2016), it turns free-running text into tagged spans that downstream tools can use.