In this paper we present an approach aimed at enriching the Open Information Extraction paradigm with semantic relation ontologization by integrating syntactic and semantic features into its workflow. To achieve this goal, we combine deep syntactic analysis and distributional semantics using a shortest path kernel method and soft clustering. The output of our system is a set of automatically discovered and ontologized semantic relations.
Integrating syntactic and semantic analysis into the open information extraction paradigm / Moro, Andrea; Navigli, Roberto. - STAMPA. - (2013), pp. 2148-2154. (Intervento presentato al convegno 23rd International Joint Conference on Artificial Intelligence, IJCAI 2013 tenutosi a Beijing, China nel August 3-9th, 2013).
Integrating syntactic and semantic analysis into the open information extraction paradigm
MORO, ANDREA;NAVIGLI, ROBERTO
2013
Abstract
In this paper we present an approach aimed at enriching the Open Information Extraction paradigm with semantic relation ontologization by integrating syntactic and semantic features into its workflow. To achieve this goal, we combine deep syntactic analysis and distributional semantics using a shortest path kernel method and soft clustering. The output of our system is a set of automatically discovered and ontologized semantic relations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
