Vol. 7 No. 2 (2014)

Semantic role labeling in natural texts

Published August 6, 2020
pdf (hun) (Magyar)


Subecz, Z. (2020). Semantic role labeling in natural texts. Economica, 7(2), 164–171. https://doi.org/10.47282/ECONOMICA/2014/7/2/4344

The event extraction and semantic role labeling are important areas in information extraction from natural language texts. Semantic role labeling, sometimes also called shallow semantic parsing, is a task in natural language processing consisting of the detection of the semantic arguments associated with the predicate or verb of a sentence and their classification into their specific roles. We created a program for this task in Java language, in which we applied data
mining and artificial intelligence algorithms. We introduce in this article the principles and results of this application.