{"title":"深度学习在自然语言处理中的应用","authors":"J. Chai, Anming Li","doi":"10.1109/ICMLC48188.2019.8949185","DOIUrl":null,"url":null,"abstract":"Deep learning raises interests of research community as their overwhelming successes in information processing such specific tasks as video/speech recognition. In this paper, we provide a state-of-the-art analysis of deep learning with its applications in an important direction: natural language processing. We attempt to provide a clear and critical summarization for researchers and participators who are interested in incorporating the deep learning techniques in their specific domains.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Deep Learning in Natural Language Processing: A State-of-the-Art Survey\",\"authors\":\"J. Chai, Anming Li\",\"doi\":\"10.1109/ICMLC48188.2019.8949185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deep learning raises interests of research community as their overwhelming successes in information processing such specific tasks as video/speech recognition. In this paper, we provide a state-of-the-art analysis of deep learning with its applications in an important direction: natural language processing. We attempt to provide a clear and critical summarization for researchers and participators who are interested in incorporating the deep learning techniques in their specific domains.\",\"PeriodicalId\":221349,\"journal\":{\"name\":\"2019 International Conference on Machine Learning and Cybernetics (ICMLC)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Machine Learning and Cybernetics (ICMLC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC48188.2019.8949185\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC48188.2019.8949185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Deep Learning in Natural Language Processing: A State-of-the-Art Survey
Deep learning raises interests of research community as their overwhelming successes in information processing such specific tasks as video/speech recognition. In this paper, we provide a state-of-the-art analysis of deep learning with its applications in an important direction: natural language processing. We attempt to provide a clear and critical summarization for researchers and participators who are interested in incorporating the deep learning techniques in their specific domains.