Abstract
Relation extraction refers to the method of efficient detection and identification of prede‐ fined semantic relationships within a set of entities in text documents (Zelenco, Aone, & Ri‐ chardella, 2003; Zhang, Zhou, and Aiti, 2008). The importance of this method was recognized first at the Message Understanding Conference (MUC, 2001) that had been held from 1987 to 1997 under the supervision of DARPA1. After that, the Automatic Content Ex‐ traction (ACE, 2009) Workshop facilitated numerous researches that from 1999 to 2008 had been promoted by NIST2 as a new project. Currently, the workshop is held every year being the greatest world forum for comparison and evaluation of new technology in the field of information extraction such as named entity recognition, relation extraction, event extrac‐ tion, and temporal information extraction. This workshop is conducted as a sub-field of Text Analytics Conference (TAC, 2012) which is currently under the supervision of NIST.
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