{"title":"自动摘要的句子简化","authors":"Abdullah Bawakid, M. Oussalah","doi":"10.1109/CIS.2011.6169135","DOIUrl":null,"url":null,"abstract":"In this paper, we emphasize the need for conserving space within sentences by introducing a Sentences Simplification Module (SSM). The module is aimed to shorten the length of sentences via either splitting or compression. We describe how the module is integrated in a Wikipedia-based summarization framework. We highlight the performance differences obtained from introducing such a module by running a series of evaluations.","PeriodicalId":286889,"journal":{"name":"2011 IEEE 10th International Conference on Cybernetic Intelligent Systems (CIS)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Sentences Simplification for Automatic summarization\",\"authors\":\"Abdullah Bawakid, M. Oussalah\",\"doi\":\"10.1109/CIS.2011.6169135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we emphasize the need for conserving space within sentences by introducing a Sentences Simplification Module (SSM). The module is aimed to shorten the length of sentences via either splitting or compression. We describe how the module is integrated in a Wikipedia-based summarization framework. We highlight the performance differences obtained from introducing such a module by running a series of evaluations.\",\"PeriodicalId\":286889,\"journal\":{\"name\":\"2011 IEEE 10th International Conference on Cybernetic Intelligent Systems (CIS)\",\"volume\":\"93 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 10th International Conference on Cybernetic Intelligent Systems (CIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS.2011.6169135\",\"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 IEEE 10th International Conference on Cybernetic Intelligent Systems (CIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2011.6169135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sentences Simplification for Automatic summarization
In this paper, we emphasize the need for conserving space within sentences by introducing a Sentences Simplification Module (SSM). The module is aimed to shorten the length of sentences via either splitting or compression. We describe how the module is integrated in a Wikipedia-based summarization framework. We highlight the performance differences obtained from introducing such a module by running a series of evaluations.