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We study relation extraction for knowledge base (KB) enrichment. Specifically, we aim to extract entities and their relationships from sentences in the form of triples and map the elements of the extracted triples to an existing KB in an end-to-end manner. Previous studies focus on the extraction itself and rely on Named Entity Disambiguation (NED) to map triples into the KB space. This way, NED errors may cause extraction errors that affect the overall precision and recall. To address thisdoi:10.18653/v1/p19-1023 dblp:conf/acl/TrisedyaWQZ19 fatcat:dkyftbaskjgmdb3yy7okjdijyu