השוואת שיטות

	ניתוח תלויות	רזולוציית קורפרנס
תחום	כריית טקסט	כריית טקסט
משפחה	Process / pipeline	Process / pipeline
שנת המקור	—	1978
הוגה השיטה	—	Hobbs (1978); Lee et al. (2017, neural end-to-end)
סוג	NLP syntactic-analysis task	NLP information-extraction task
מקור מכונן	Nivre, J. (2005). Dependency Grammar and Dependency Parsing. MSI Report.	Lee, K. et al. (2017). End-to-end Neural Coreference Resolution. EMNLP.
כינויים	syntactic dependency analysis, dependency tree parsing, Bağımlılık Ayrıştırma (Dependency Parsing)	coreference, anaphora resolution, Eşgönderim Çözümleme (Coreference Resolution)
קשורות	3	4
תקציר	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.	Coreference resolution is a natural-language-processing task that detects when different expressions in a text refer to the same entity — for example a name, a later pronoun, and a descriptive phrase all pointing at one person. Rooted in early linguistic work by Hobbs (1978) and advanced by the end-to-end neural model of Lee et al. (2017), it improves the quality of information extraction and text understanding.