Survey on Kernel-Based Relation Extraction
作者： Hanmin Jung , Sung-Pil Choi , Seungwoo Lee , Sa-Kwang Song
DOI: 10.5772/51005
关键词: Field (computer science) 、 Computer science 、 Message Understanding Conference 、 Named-entity recognition 、 Information retrieval 、 Information extraction 、 Set (abstract data type) 、 Relationship extraction 、 Event (computing) 、 Identification (information)
摘要: Relation extraction refers to the method of efficient detection and identification prede‐ fined semantic relationships within a set entities in text documents (Zelenco, Aone, & Ri‐ chardella, 2003; Zhang, Zhou, Aiti, 2008). The importance this was recognized first at Message Understanding Conference (MUC, 2001) that had been held from 1987 1997 under supervision DARPA1. After that, Automatic Content Ex‐ traction (ACE, 2009) Workshop facilitated numerous researches 1999 2008 promoted by NIST2 as new project. Currently, workshop is every year being greatest world forum for comparison evaluation technology field information such named entity recognition, relation extraction, event extrac‐ tion, temporal extraction. This conducted sub-field Text Analytics (TAC, 2012) which currently NIST.
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