Traditional approaches to the task of ACE event extraction usually rely on sequential pipelines with multiple stages, which suffer from error propagation since event triggers and arguments are… (More)
In this paper we give an overview of the Knowledge Base Population (KBP) track at TAC 2010. The main goal of KBP is to promote research in discovering facts about entities and expanding a structured… (More)
In this paper we give an overview of the Knowledge Base Population (KBP) track at the 2010 Text Analysis Conference. The main goal of KBP is to promote research in discovering facts about entities… (More)
We apply the hypothesis of “One Sense Per Discourse” (Yarowsky, 1995) to information extraction (IE), and extend the scope of “discourse” from one single document to a cluster of topically-related… (More)
While the web provides a fantastic linguistic resource, col lecting and processing data at web-scale is beyond the reach of most academic laboratories. Previous research has relied on search engin es… (More)
Previous research on relation classification has verified the effectiveness of using dependency shortest paths or subtrees. In this paper, we further explore how to make full use of the combination… (More)
We present an incremental joint framework to simultaneously extract entity mentions and relations using structured perceptron with efficient beam-search. A segment-based decoder based on the idea of… (More)
In this paper we give an overview of the Entity Discovery and Linking tasks at the Knowledge Base Population track at TAC 2014. In this year we introduced a new end-to-end English entity discovery… (More)
Current systems of fine-grained entity typing use distant supervision in conjunction with existing knowledge bases to assign categories (type labels) to entity mentions. However, the type labels so… (More)
In this paper we give an overview of the Tri-lingual Entity Discovery and Linking task at the Knowledge Base Population (KBP) track at TAC2015. In this year we introduced a new end-to-end Tri-lingual… (More)