Сравнение методов

	Конституентный синтаксический анализ	Зависимостный парсинг
Область	Интеллектуальный анализ текста	Интеллектуальный анализ текста
Семейство	Process / pipeline	Process / pipeline
Год появления	2003	—
Автор метода	Michael Collins (statistical models, 2003)	—
Тип	NLP syntactic-analysis task	NLP syntactic-analysis task
Основополагающий источник	Collins, M. (2003). Head-Driven Statistical Models for Natural Language Parsing. Computational Linguistics, 29(4), 589-637.	Nivre, J. (2005). Dependency Grammar and Dependency Parsing. MSI Report.
Другие названия	phrase-structure parsing, constituent parsing, Kurucu Öbek Ayrıştırma (Constituency Parsing)	syntactic dependency analysis, dependency tree parsing, Bağımlılık Ayrıştırma (Dependency Parsing)
Связанные	3	3
Сводка	Constituency parsing is a natural-language-processing task that represents a sentence as a tree of recursively nested phrase-structure constituents — for example S → NP + VP. Building on the head-driven statistical parsing models introduced by Collins (2003) and the later neural parsers of Kitaev and colleagues (2019), it exposes the hierarchical syntactic skeleton of a sentence for grammatical pattern extraction and grammar research.	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.