{"title":"小说模拟，小说关键场景的自动提取","authors":"R. Cant, C. Langensiepen, J. Purcell","doi":"10.1109/UKSIM.2011.28","DOIUrl":null,"url":null,"abstract":"This paper proposes a method by which the contents of novels may be automatically parsed to extract the key events, characters, locations and significant objects. A technique of clustering relevant to the textual content of novels was derived in order to extract the pertinent elements. The resultant information is presented in the form of a timeline, which can be used to initiate the storyboarding of games based on novels.","PeriodicalId":161995,"journal":{"name":"2011 UkSim 13th International Conference on Computer Modelling and Simulation","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fictional Simulation, Automatic Extraction of Key Scenes from Novels\",\"authors\":\"R. Cant, C. Langensiepen, J. Purcell\",\"doi\":\"10.1109/UKSIM.2011.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a method by which the contents of novels may be automatically parsed to extract the key events, characters, locations and significant objects. A technique of clustering relevant to the textual content of novels was derived in order to extract the pertinent elements. The resultant information is presented in the form of a timeline, which can be used to initiate the storyboarding of games based on novels.\",\"PeriodicalId\":161995,\"journal\":{\"name\":\"2011 UkSim 13th International Conference on Computer Modelling and Simulation\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 UkSim 13th International Conference on Computer Modelling and Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UKSIM.2011.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 UkSim 13th International Conference on Computer Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UKSIM.2011.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fictional Simulation, Automatic Extraction of Key Scenes from Novels
This paper proposes a method by which the contents of novels may be automatically parsed to extract the key events, characters, locations and significant objects. A technique of clustering relevant to the textual content of novels was derived in order to extract the pertinent elements. The resultant information is presented in the form of a timeline, which can be used to initiate the storyboarding of games based on novels.
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