{"title":"使用参考文献的科学文献自动关键字提取","authors":"Yanchun Lu, Ruixuan Li, Kunmei Wen, Zhengding Lu","doi":"10.1109/IDAM.2014.6912674","DOIUrl":null,"url":null,"abstract":"References provide some important clues for detecting keywords of the scientific literatures. We propose a unified framework based on word co-occurrence and topic distribution using references to extract top-k single keywords, and remove words within a range of topics. For those multiword keywords, we use LocalMaxs algorithm and apply the Co-occurrence Cohesion Degree to measure the “glue” of the n-gram. Experimental results show that our keyword extraction method by using references can obviously improve the performance of precision, recall and F-measure compared to other keyword extraction methods.","PeriodicalId":135246,"journal":{"name":"Proceedings of the 2014 International Conference on Innovative Design and Manufacturing (ICIDM)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Automatic keyword extraction for scientific literatures using references\",\"authors\":\"Yanchun Lu, Ruixuan Li, Kunmei Wen, Zhengding Lu\",\"doi\":\"10.1109/IDAM.2014.6912674\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"References provide some important clues for detecting keywords of the scientific literatures. We propose a unified framework based on word co-occurrence and topic distribution using references to extract top-k single keywords, and remove words within a range of topics. For those multiword keywords, we use LocalMaxs algorithm and apply the Co-occurrence Cohesion Degree to measure the “glue” of the n-gram. Experimental results show that our keyword extraction method by using references can obviously improve the performance of precision, recall and F-measure compared to other keyword extraction methods.\",\"PeriodicalId\":135246,\"journal\":{\"name\":\"Proceedings of the 2014 International Conference on Innovative Design and Manufacturing (ICIDM)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2014 International Conference on Innovative Design and Manufacturing (ICIDM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IDAM.2014.6912674\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 International Conference on Innovative Design and Manufacturing (ICIDM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDAM.2014.6912674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic keyword extraction for scientific literatures using references
References provide some important clues for detecting keywords of the scientific literatures. We propose a unified framework based on word co-occurrence and topic distribution using references to extract top-k single keywords, and remove words within a range of topics. For those multiword keywords, we use LocalMaxs algorithm and apply the Co-occurrence Cohesion Degree to measure the “glue” of the n-gram. Experimental results show that our keyword extraction method by using references can obviously improve the performance of precision, recall and F-measure compared to other keyword extraction methods.