{"type":"ScholarlyArticle","title":"Shallow Semantics for Relation Extraction","authors":[{"name":"Sanda M. Harabagiu","slug":"sanda-m-harabagiu","given":"Sanda M.","family":"Harabagiu","affiliation":""},{"name":"Cosmin Adrian Bejan","slug":"cosmin-adrian-bejan","given":"Cosmin Adrian","family":"Bejan","affiliation":""},{"name":"Paul Morarescu","slug":"paul-morarescu","given":"Paul","family":"Morarescu","affiliation":""}],"abstract":"This paper presents a new method for extracting meaningful relations from unstructured natural language sources. The method is based on information made available by shallow semantic parsers. Semantic information was used (1) to enhance a dependency tree kernel; and (2) to build semantic dependency structures used for enhanced relation extraction for several semantic classifiers. In our experiments the quality of the extracted relations surpassed the results of kernel-based models employing only semantic class information.","doi":null,"url":"https://ijcai.org/proceedings/2005/217","pdf":"https://ijcai.org/proceedings/2005/0217.pdf","markdown":"https://ijcai.org/proceedings/2005/217.md","bibtex":"https://ijcai.org/proceedings/2005/bibtex/217","volume":{"slug":"2005","title":"Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2005","url":"https://ijcai.org/proceedings/2005/","year":2005,"location":"Edinburgh, Scotland, UK","dates":"","editors":"","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":217,"pages":{"first":1061,"last":1065},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}