{"title":"信息抽取语言的词汇匹配","authors":"P. Bednar","doi":"10.1109/SAMI.2017.7880292","DOIUrl":null,"url":null,"abstract":"In the previous paper [1], we have described specification of the domain-specific declarative language for natural language processing and information extraction tasks. This paper extends the previous specification of the language with the extensions, which allow to specify sequences of words and corresponding meta-data annotations in the vocabulary. The paper describes syntax extensions and internal structure of the vocabulary designed for efficient matching and low storage requirements.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Vocabulary matching for information extraction language\",\"authors\":\"P. Bednar\",\"doi\":\"10.1109/SAMI.2017.7880292\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the previous paper [1], we have described specification of the domain-specific declarative language for natural language processing and information extraction tasks. This paper extends the previous specification of the language with the extensions, which allow to specify sequences of words and corresponding meta-data annotations in the vocabulary. The paper describes syntax extensions and internal structure of the vocabulary designed for efficient matching and low storage requirements.\",\"PeriodicalId\":105599,\"journal\":{\"name\":\"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAMI.2017.7880292\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2017.7880292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vocabulary matching for information extraction language
In the previous paper [1], we have described specification of the domain-specific declarative language for natural language processing and information extraction tasks. This paper extends the previous specification of the language with the extensions, which allow to specify sequences of words and corresponding meta-data annotations in the vocabulary. The paper describes syntax extensions and internal structure of the vocabulary designed for efficient matching and low storage requirements.