{"title":"未知话题边界的新闻演讲摘要","authors":"S. Takao, T. Haru, Y. Ariki","doi":"10.1109/ICME.2001.1237795","DOIUrl":null,"url":null,"abstract":"TV viewers want to grasp the contents of the news program in a short time due to the increasing number of news channels. Conventional summarization methods based on extraction of the important sentences from each topic included in the news speech is insufficient because the important sentences can not always be extracted from each topic due to unknown topic boundary. To solve this problem, in this paper, we propose a summarization method of TV news program by segmenting the news speech into topics and then extracting the important sentence from each topic.","PeriodicalId":405589,"journal":{"name":"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.","volume":"192 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Summarization of news speech with unknown topic boundary\",\"authors\":\"S. Takao, T. Haru, Y. Ariki\",\"doi\":\"10.1109/ICME.2001.1237795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"TV viewers want to grasp the contents of the news program in a short time due to the increasing number of news channels. Conventional summarization methods based on extraction of the important sentences from each topic included in the news speech is insufficient because the important sentences can not always be extracted from each topic due to unknown topic boundary. To solve this problem, in this paper, we propose a summarization method of TV news program by segmenting the news speech into topics and then extracting the important sentence from each topic.\",\"PeriodicalId\":405589,\"journal\":{\"name\":\"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.\",\"volume\":\"192 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICME.2001.1237795\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICME.2001.1237795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Summarization of news speech with unknown topic boundary
TV viewers want to grasp the contents of the news program in a short time due to the increasing number of news channels. Conventional summarization methods based on extraction of the important sentences from each topic included in the news speech is insufficient because the important sentences can not always be extracted from each topic due to unknown topic boundary. To solve this problem, in this paper, we propose a summarization method of TV news program by segmenting the news speech into topics and then extracting the important sentence from each topic.
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