{"title":"基于百科全书分类的领域识别广播新闻关键词提取","authors":"Yoshimi Suzuki, Fumiyo Fukumoto, Y. Sekiguchi","doi":"10.21437/ICSLP.1998-508","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a keyword extraction method for dictation of radio news which consists of several domains. In our method, newspaper articles which are au-tomatically classi(cid:12)ed into suitable domains are used in order to calculate feature vectors. The feature vectors show term-domain interdependence and are used for selecting a suitable domain of each part of radio news. Keywords are extracted by using the selected domain. The results of keyword extraction experiments showed that our methods are e(cid:11)ective for keyword extraction of radio news.","PeriodicalId":117113,"journal":{"name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Keyword extraction of radio news using domain identification based on categories of an encyclopedia\",\"authors\":\"Yoshimi Suzuki, Fumiyo Fukumoto, Y. Sekiguchi\",\"doi\":\"10.21437/ICSLP.1998-508\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a keyword extraction method for dictation of radio news which consists of several domains. In our method, newspaper articles which are au-tomatically classi(cid:12)ed into suitable domains are used in order to calculate feature vectors. The feature vectors show term-domain interdependence and are used for selecting a suitable domain of each part of radio news. Keywords are extracted by using the selected domain. The results of keyword extraction experiments showed that our methods are e(cid:11)ective for keyword extraction of radio news.\",\"PeriodicalId\":117113,\"journal\":{\"name\":\"5th International Conference on Spoken Language Processing (ICSLP 1998)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"5th International Conference on Spoken Language Processing (ICSLP 1998)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21437/ICSLP.1998-508\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"5th International Conference on Spoken Language Processing (ICSLP 1998)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21437/ICSLP.1998-508","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Keyword extraction of radio news using domain identification based on categories of an encyclopedia
In this paper, we propose a keyword extraction method for dictation of radio news which consists of several domains. In our method, newspaper articles which are au-tomatically classi(cid:12)ed into suitable domains are used in order to calculate feature vectors. The feature vectors show term-domain interdependence and are used for selecting a suitable domain of each part of radio news. Keywords are extracted by using the selected domain. The results of keyword extraction experiments showed that our methods are e(cid:11)ective for keyword extraction of radio news.
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