{"title":"儿童语言习得的计算模拟(疯狂的新想法)","authors":"Ben Ambridge","doi":"10.4230/OASIcs.LDK.2021.4","DOIUrl":null,"url":null,"abstract":"Many modern NLP models are already close to simulating children’s language acquisition; the main thing they currently lack is a \"real world\" representation of semantics that allows them to map from form to meaning and vice-versa. The aim of this \"Crazy Idea\" is to spark a discussion about how we might get there.","PeriodicalId":377119,"journal":{"name":"International Conference on Language, Data, and Knowledge","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Computational Simulation of Children's Language Acquisition (Crazy New Idea)\",\"authors\":\"Ben Ambridge\",\"doi\":\"10.4230/OASIcs.LDK.2021.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many modern NLP models are already close to simulating children’s language acquisition; the main thing they currently lack is a \\\"real world\\\" representation of semantics that allows them to map from form to meaning and vice-versa. The aim of this \\\"Crazy Idea\\\" is to spark a discussion about how we might get there.\",\"PeriodicalId\":377119,\"journal\":{\"name\":\"International Conference on Language, Data, and Knowledge\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Language, Data, and Knowledge\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4230/OASIcs.LDK.2021.4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Language, Data, and Knowledge","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4230/OASIcs.LDK.2021.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Computational Simulation of Children's Language Acquisition (Crazy New Idea)
Many modern NLP models are already close to simulating children’s language acquisition; the main thing they currently lack is a "real world" representation of semantics that allows them to map from form to meaning and vice-versa. The aim of this "Crazy Idea" is to spark a discussion about how we might get there.