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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Where Scene Happened in Text on Relevant Measures
verfasst von : Hanjing Li, Ruizhi Dong
Erschienen in: Knowledge Engineering and Management
Verlag: Springer Berlin Heidelberg
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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.