{"title":"航空航天科技文本语义角色标注系统的开发","authors":"Ju. I. Butenko, M. L. Galetka, E. E. Sineva","doi":"10.3103/S0005105522050077","DOIUrl":null,"url":null,"abstract":"<p>The problem of automatic semantic analysis in natural language processing systems is considered. It is shown that annotating semantic roles is a promising method of analysis, which consists in the recognition of predicate-argument structures in each sentence. A program developed for marking semantic roles in Russian texts is described, and 2000 lexical units are marked on the examples of texts on aviation and astronautics. The unique inventory of semantic roles for aerospace domain is formed. Frame semantics method and ontological approach to frame organization in knowledge base are offered as a model of knowledge representation to organize labeled semantic roles.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"56 5","pages":"251 - 260"},"PeriodicalIF":0.5000,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Developing a Semantic Role Labeling System in Scientific and Technical Texts on Aviation and Astronautics\",\"authors\":\"Ju. I. Butenko, M. L. Galetka, E. E. Sineva\",\"doi\":\"10.3103/S0005105522050077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The problem of automatic semantic analysis in natural language processing systems is considered. It is shown that annotating semantic roles is a promising method of analysis, which consists in the recognition of predicate-argument structures in each sentence. A program developed for marking semantic roles in Russian texts is described, and 2000 lexical units are marked on the examples of texts on aviation and astronautics. The unique inventory of semantic roles for aerospace domain is formed. Frame semantics method and ontological approach to frame organization in knowledge base are offered as a model of knowledge representation to organize labeled semantic roles.</p>\",\"PeriodicalId\":42995,\"journal\":{\"name\":\"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS\",\"volume\":\"56 5\",\"pages\":\"251 - 260\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2022-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S0005105522050077\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0005105522050077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Developing a Semantic Role Labeling System in Scientific and Technical Texts on Aviation and Astronautics
The problem of automatic semantic analysis in natural language processing systems is considered. It is shown that annotating semantic roles is a promising method of analysis, which consists in the recognition of predicate-argument structures in each sentence. A program developed for marking semantic roles in Russian texts is described, and 2000 lexical units are marked on the examples of texts on aviation and astronautics. The unique inventory of semantic roles for aerospace domain is formed. Frame semantics method and ontological approach to frame organization in knowledge base are offered as a model of knowledge representation to organize labeled semantic roles.
期刊介绍:
Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.