Linganisha mbinu

	Utambuzi wa Matukio	Uainishaji wa Majukumu ya Maana (SRL)
Nyanja	Uchimbaji wa Matini	Uchimbaji wa Matini
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	—	2002
Mwanzilishi	—	Daniel Gildea & Daniel Jurafsky
Aina	NLP information-extraction task	NLP shallow semantic parsing task
Chanzo asilia	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.
Majina mbadala	event extraction, Olay Tespiti (Event Detection)	SRL, shallow semantic parsing, Anlamsal Rol Etiketleme (SRL)
Zinazohusiana	4	3
Muhtasari	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.