{"type":"ScholarlyArticle","title":"Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm","authors":[{"name":"Andrea Moro","slug":"andrea-moro","given":"Andrea","family":"Moro","affiliation":""},{"name":"Roberto Navigli","slug":"roberto-navigli","given":"Roberto","family":"Navigli","affiliation":""}],"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.","doi":null,"url":"https://ijcai.org/proceedings/2013/317","pdf":"https://ijcai.org/proceedings/2013/0317.pdf","markdown":"https://ijcai.org/proceedings/2013/317.md","bibtex":"https://ijcai.org/proceedings/2013/bibtex/317","volume":{"slug":"2013","title":"Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2013","url":"https://ijcai.org/proceedings/2013/","year":2013,"location":"Beijing, China","dates":"3–9 August 2013","editors":"Francesca Rossi","isbn":"978-1-57735-633-2","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":317,"pages":{"first":2148,"last":2153},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}