Identifying and tracking entity mentions in a maximum entropy framework
Abraham Poovakunnel Ittycheriah, Lucian Vlad Lita, Nandakishore Kambhatla, Nicolas Nicolov, Salim Roukos, Małgorzata E. Styś · 2003
abei,nanda,nicolas,roukos,sm1¢ We present a system for identifying and tracking named, nominal, and pronominal mentions of entities within a text document. Our maximum entropy model for mention detection combines two pre-existing named entity taggers (built to extract different entity categories), and other syntactic and morphological feature streams to achieve competitive performance. We developed a novel maximum entropy model for tracking all mentions of an entity within a document. We participated in the Automatic Content Extraction (ACE) evaluation and performed well. We describe our system and present results of the ACE evaluation. 1