UTH: Semantic Relation Classification using Physical Sizes
Eiji Aramaki, Takeshi Imai, Kengo Miyo Kazuhiko Ohe · 2007
Although researchers have shown increasing interest in extracting/classifying semantic relations, most previous studies have basically relied on lexical patterns between terms. This paper proposes a novel way to accomplish the task: a system that captures a physical size of an entity. Experimental results revealed that our proposed method is feasible and prevents the problems inherent in other methods. 1