So sánh phương pháp

	Phát hiện sự kiện	Gán nhãn vai trò ngữ nghĩa (SRL)
Lĩnh vực	Khai phá văn bản	Khai phá văn bản
Họ	Process / pipeline	Process / pipeline
Năm ra đời	—	2002
Người khởi xướng	—	Daniel Gildea & Daniel Jurafsky
Loại	NLP information-extraction task	NLP shallow semantic parsing task
Công trình gốc	Doddington, G. et al. (2004). The Automatic Content Extraction (ACE) Program — Tasks, Data, and Evaluation. LREC.	Gildea, D. & Jurafsky, D. (2002). Automatic Labeling of Semantic Roles. Computational Linguistics, 28(3), 245-288.
Tên gọi khác	event extraction, Olay Tespiti (Event Detection)	SRL, shallow semantic parsing, Anlamsal Rol Etiketleme (SRL)
Liên quan	4	3
Tóm tắt	Event detection is a natural-language-processing information-extraction task that finds events, historical developments, and action expressions in text and classifies them by type. It grew out of the Automatic Content Extraction (ACE) program described by Doddington et al. (2004) and is widely used in news analysis and historical research.	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.