{"title":"用Sigmoid和ReLU函数验证日语文本蕴涵","authors":"Iori Fukumura, Masashi Akahori, Ryu Kubota, Sanggyu Shin","doi":"10.1109/IIAIAAI55812.2022.00138","DOIUrl":null,"url":null,"abstract":"Many items must be especially considered in recognizing the textual entailment of Japanese compared with the multi-lingual. In this paper, we will create several machine learning models that take as input two sentences to be checked for textual entailment and their correct labels and examine which methods are effective for inference of textual entailment.","PeriodicalId":156230,"journal":{"name":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Verification of textual entailment in Japanese Using Sigmoid and ReLU Function\",\"authors\":\"Iori Fukumura, Masashi Akahori, Ryu Kubota, Sanggyu Shin\",\"doi\":\"10.1109/IIAIAAI55812.2022.00138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many items must be especially considered in recognizing the textual entailment of Japanese compared with the multi-lingual. In this paper, we will create several machine learning models that take as input two sentences to be checked for textual entailment and their correct labels and examine which methods are effective for inference of textual entailment.\",\"PeriodicalId\":156230,\"journal\":{\"name\":\"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIAIAAI55812.2022.00138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAIAAI55812.2022.00138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Verification of textual entailment in Japanese Using Sigmoid and ReLU Function
Many items must be especially considered in recognizing the textual entailment of Japanese compared with the multi-lingual. In this paper, we will create several machine learning models that take as input two sentences to be checked for textual entailment and their correct labels and examine which methods are effective for inference of textual entailment.
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