{"title":"不同医学文本中语境词项的频率","authors":"B. Chapman, Wei Wei, W. Chapman","doi":"10.1109/HISB.2012.60","DOIUrl":null,"url":null,"abstract":"We assess the relative frequency that lexical items defined in the pyConTextNLP package occur within radiology, history and physical, and emergency department texts. While we found significant disparity in term frequency between the text types nearly half of the lexical items were not found in any of the texts indicating that significant pruning of the lexical knowledge base could be attempted. However, the study is limited by the small number of texts studied.","PeriodicalId":375089,"journal":{"name":"2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Frequency of ConText Lexical Items in Diverse Medical Texts\",\"authors\":\"B. Chapman, Wei Wei, W. Chapman\",\"doi\":\"10.1109/HISB.2012.60\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We assess the relative frequency that lexical items defined in the pyConTextNLP package occur within radiology, history and physical, and emergency department texts. While we found significant disparity in term frequency between the text types nearly half of the lexical items were not found in any of the texts indicating that significant pruning of the lexical knowledge base could be attempted. However, the study is limited by the small number of texts studied.\",\"PeriodicalId\":375089,\"journal\":{\"name\":\"2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HISB.2012.60\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HISB.2012.60","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Frequency of ConText Lexical Items in Diverse Medical Texts
We assess the relative frequency that lexical items defined in the pyConTextNLP package occur within radiology, history and physical, and emergency department texts. While we found significant disparity in term frequency between the text types nearly half of the lexical items were not found in any of the texts indicating that significant pruning of the lexical knowledge base could be attempted. However, the study is limited by the small number of texts studied.
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