文献类型：期刊文献

英文题名：Where scene happened in text on relevant measures

作者：Li, Hanjing[1]; Dong, Ruizhi[2]

第一作者：李晗静

通讯作者：Li, H.

机构：[1] Specail Eduaction School, Beijing Union University, 100075, Beijing, China; [2] MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, No. 92, West Dazhi Street, NanGang, Harbin, 150001, China

第一机构：北京联合大学特殊教育学院

年份：2011

卷号：123

起止页码：397-402

外文期刊名：Advances in Intelligent and Soft Computing

收录：EI(收录号：20120114656229)

语种：英文

外文关键词：Computers

摘要：This paper proposes a method to identify scenes in texts with relevant measures, namely to infer the locations where actions take place without any explicit description in texts. Firstly, 48 scene categories are classified by the sememe hypernym and concept similarity on HowNet. Secondly, the hierarchical scene information tuples generated on action tuples and scenes from corpus are extracted by calculating the relevancy for each tuple, and then the knowledge base is generated. Finally, the constructed knowledge base is used to identify scenes in novel texts, and the experimental results on 1-best and voting shows the effective of the method. ? 2011 Springer-Verlag Berlin Heidelberg.