{"title":"基于认知的段落连贯判断神经网络","authors":"P. Carlson, A. The","doi":"10.1109/IJCNN.1991.170577","DOIUrl":null,"url":null,"abstract":"The authors report on an effort in artificial neural network (ANN) technology to use content-independent elements of prose as predictors of paragraph logic structures. They intend to embed the trained network in an intelligent tutor to teach writing skills. An attempt is made to find patterns in the nonambiguous lexical and syntactic features if discourse that predict the semantic/cognitive level of interpretation. An NN implementation of the modified Christensen method is considered. It is noted that ANN technology's ability to deal with fuzzy logic, feature extraction, classification, and predictive modeling makes a neural network the best choice for the present application.<<ETX>>","PeriodicalId":211135,"journal":{"name":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1991-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A cognitively-based neural network for determining paragraph coherence\",\"authors\":\"P. Carlson, A. The\",\"doi\":\"10.1109/IJCNN.1991.170577\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors report on an effort in artificial neural network (ANN) technology to use content-independent elements of prose as predictors of paragraph logic structures. They intend to embed the trained network in an intelligent tutor to teach writing skills. An attempt is made to find patterns in the nonambiguous lexical and syntactic features if discourse that predict the semantic/cognitive level of interpretation. An NN implementation of the modified Christensen method is considered. It is noted that ANN technology's ability to deal with fuzzy logic, feature extraction, classification, and predictive modeling makes a neural network the best choice for the present application.<<ETX>>\",\"PeriodicalId\":211135,\"journal\":{\"name\":\"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCNN.1991.170577\",\"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] 1991 IEEE International Joint Conference on Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.1991.170577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A cognitively-based neural network for determining paragraph coherence
The authors report on an effort in artificial neural network (ANN) technology to use content-independent elements of prose as predictors of paragraph logic structures. They intend to embed the trained network in an intelligent tutor to teach writing skills. An attempt is made to find patterns in the nonambiguous lexical and syntactic features if discourse that predict the semantic/cognitive level of interpretation. An NN implementation of the modified Christensen method is considered. It is noted that ANN technology's ability to deal with fuzzy logic, feature extraction, classification, and predictive modeling makes a neural network the best choice for the present application.<>