Rol semantikoen etiketatze automatikoa

Résumé

The main task of semantic role labeling (SRL), sometimes also called shallow semantic parsing , is to detect the semantic relations hold among the predicate of a sentence and its associated participants and properties and the classification into their spec ific roles . Perforrrung sentence-level semantic analysis can help determine who did whar to whom, where, when, and how within an event . The predicate of a clause (typically a verb) establishes what took place , and other sentence constituents express the participants in the event (such as who and where), as well as further event properties (such as when and how). The information provided by semantic roles is crucial in order to process texts automatically, and in addition to the applications in Natural Language Processing (NLP), semantic roles can help improve Internet search engines, question answering and translation systems. Nowadays , roles are on the edge regarding information extraction and social network research tasks.