Inferring the Location of an Event in Large Corpus
Hanjing Li, RUNZHI DONG, Tiejun Zhao · International Journal of Computer Processing Of Languages · 2011
The location of a passage is a kind of semantic information that may prove useful for a variety of applications dealing with inference over passages described in natural language texts. In this paper, we propose a method for automatic discovery of pairs of an event and a place term related by the location, such as wash clothes ⇒ laundry room. In contrast to previous approaches that extracting associations between particular actions and locations when those actions occur on dunning likelihood ratio, the underlying assumption of our method is that correlation between an event and a place term is in the regular co-occurrence of a verb and a place noun within locally coherent text. Based on the analogy with the problem of inferring semantic information from text corpus statistical method of Dunning's likelihood ratio is used to score the extracted pairs for association in order to discover the correlation in each pair. In our experimental evaluation, we examine the effect that various statistical methods produce on the accuracy of this model of inferring locations. After that we carried out a direct evaluation of rare pairs against different statistical method.