{"title":"计算机辅助语言处理:用解释重新定义人机关系","authors":"Ludovic Tanguy","doi":"10.1109/CT.1997.617693","DOIUrl":null,"url":null,"abstract":"Focusing on the human computer interaction for natural language processing, we present a formal notion of interpretation, as a frame for the semantic analysis of texts. Moving away from classical automated processing, we define the role of the computer as a guide towards manual identification of semantic structures. We propose an interactive protocol in order to \"extract\" and explore a user's intuitions of the thematic structures of a given text. This protocol, along with the data structure which stores semantic information from the user, is managed by a software system, named PASTEL, which is described. Using an example, we show how this method can be useful in deeply exploring textual content.","PeriodicalId":212776,"journal":{"name":"Proceedings Second International Conference on Cognitive Technology Humanizing the Information Age","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1997-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Computer-aided language processing: using interpretation to redefine man-machine relations\",\"authors\":\"Ludovic Tanguy\",\"doi\":\"10.1109/CT.1997.617693\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Focusing on the human computer interaction for natural language processing, we present a formal notion of interpretation, as a frame for the semantic analysis of texts. Moving away from classical automated processing, we define the role of the computer as a guide towards manual identification of semantic structures. We propose an interactive protocol in order to \\\"extract\\\" and explore a user's intuitions of the thematic structures of a given text. This protocol, along with the data structure which stores semantic information from the user, is managed by a software system, named PASTEL, which is described. Using an example, we show how this method can be useful in deeply exploring textual content.\",\"PeriodicalId\":212776,\"journal\":{\"name\":\"Proceedings Second International Conference on Cognitive Technology Humanizing the Information Age\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Second International Conference on Cognitive Technology Humanizing the Information Age\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CT.1997.617693\",\"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 Second International Conference on Cognitive Technology Humanizing the Information Age","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CT.1997.617693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computer-aided language processing: using interpretation to redefine man-machine relations
Focusing on the human computer interaction for natural language processing, we present a formal notion of interpretation, as a frame for the semantic analysis of texts. Moving away from classical automated processing, we define the role of the computer as a guide towards manual identification of semantic structures. We propose an interactive protocol in order to "extract" and explore a user's intuitions of the thematic structures of a given text. This protocol, along with the data structure which stores semantic information from the user, is managed by a software system, named PASTEL, which is described. Using an example, we show how this method can be useful in deeply exploring textual content.