Abstract：A method was proposed to incorporate semantic information based on TongYiCi CiLin and HowNet into tree kernel-based Chinese relation extraction, the impact of these two kinds of semantic information on Chinese entity relation extraction was compared and analyzed, and the interrelation between lexical semantic information and entity type information was explored. The experimental results show that this method can improve the performance of Chinese relation extraction in some degree, and TongYiCi CiLin can complement the entity type information to a certain extent. Therefore, no matter whether the entity type information is involved or not, its semantic information can significantly improve the extraction performance for most of the relation types, while some conflicts exist between HowNet and the entity type information, leading to its performance improvements only for several relation types when entity types are provided.
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2012, Vol. 32 
