1. UTH
- Author
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Takeshi Imai, Kazuhiko Ohe, Eiji Aramaki, and Kengo Miyo
- Subjects
Support vector machine ,Computer science ,business.industry ,Artificial intelligence ,Machine learning ,computer.software_genre ,business ,computer ,Semantic relation ,Task (project management) - Abstract
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.
- Published
- 2007
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