Comparer des méthodes

	Analyse des dépendances syntaxiques	Étiquetage sémantique de rôles (SRL)
Domaine	Fouille de textes	Fouille de textes
Famille	Process / pipeline	Process / pipeline
Année d'origine	—	2002
Auteur d'origine	—	Daniel Gildea & Daniel Jurafsky
Type	NLP syntactic-analysis task	NLP shallow semantic parsing task
Source fondatrice	Nivre, J. (2005). Dependency Grammar and Dependency Parsing. MSI Report.	Gildea, D. & Jurafsky, D. (2002). Automatic Labeling of Semantic Roles. Computational Linguistics, 28(3), 245-288.
Alias	syntactic dependency analysis, dependency tree parsing, Bağımlılık Ayrıştırma (Dependency Parsing)	SRL, shallow semantic parsing, Anlamsal Rol Etiketleme (SRL)
Apparentées	3	3
Résumé	Dependency parsing is a natural-language-processing task that reveals the syntactic dependency relations between the words of a sentence as a tree structure. Surveyed in the dependency-grammar tradition by Nivre (2005) and made fast and accurate with neural networks by Chen and Manning (2014), it is commonly used as a prerequisite step for information extraction and relation detection.	Semantic role labeling, introduced by Gildea and Jurafsky in 2002, is a natural-language-processing task that assigns semantic roles — who did what to whom, where, when, and how — to the components around a verb (predicate) in a sentence. It turns plain text into structured predicate-argument representations and is a foundational tool for event extraction.