{"title":"发现罕见的关键短语","authors":"Yanping Chen, Shan Liu, Q. Zheng, Ruizhang Huang, Yongbin Qin, Jiwei Qin, Ping Chen","doi":"10.1109/ICEBE.2018.00028","DOIUrl":null,"url":null,"abstract":"The frequency of phrases is important to discover key phrases. A high occurrence gives more contexts to assess them while many meaningful rare phrases are ignored. In this paper, we address the problem by exploring the semantic structure of rare phrases. An unsupervised method is presented to discover key phrases that occurs even only one time in a corpus. Comparing with related methods, the experiment shows an effective result. Moreover, a relation extraction task is conducted to evaluate the utilization of rare phrases for supporting NLP applications.","PeriodicalId":221376,"journal":{"name":"2018 IEEE 15th International Conference on e-Business Engineering (ICEBE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Discovery of Rare Key Phrases\",\"authors\":\"Yanping Chen, Shan Liu, Q. Zheng, Ruizhang Huang, Yongbin Qin, Jiwei Qin, Ping Chen\",\"doi\":\"10.1109/ICEBE.2018.00028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The frequency of phrases is important to discover key phrases. A high occurrence gives more contexts to assess them while many meaningful rare phrases are ignored. In this paper, we address the problem by exploring the semantic structure of rare phrases. An unsupervised method is presented to discover key phrases that occurs even only one time in a corpus. Comparing with related methods, the experiment shows an effective result. Moreover, a relation extraction task is conducted to evaluate the utilization of rare phrases for supporting NLP applications.\",\"PeriodicalId\":221376,\"journal\":{\"name\":\"2018 IEEE 15th International Conference on e-Business Engineering (ICEBE)\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 15th International Conference on e-Business Engineering (ICEBE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEBE.2018.00028\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 15th International Conference on e-Business Engineering (ICEBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEBE.2018.00028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The frequency of phrases is important to discover key phrases. A high occurrence gives more contexts to assess them while many meaningful rare phrases are ignored. In this paper, we address the problem by exploring the semantic structure of rare phrases. An unsupervised method is presented to discover key phrases that occurs even only one time in a corpus. Comparing with related methods, the experiment shows an effective result. Moreover, a relation extraction task is conducted to evaluate the utilization of rare phrases for supporting NLP applications.
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