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Titlebook: Maturity and Innovation in Digital Libraries; 20th International C Milena Dobreva,Annika Hinze,Maja ?umer Conference proceedings 2018 Sprin

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書目名稱Maturity and Innovation in Digital Libraries
副標題20th International C
編輯Milena Dobreva,Annika Hinze,Maja ?umer
視頻videohttp://file.papertrans.cn/628/627826/627826.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Maturity and Innovation in Digital Libraries; 20th International C Milena Dobreva,Annika Hinze,Maja ?umer Conference proceedings 2018 Sprin
描述.This book constitutes the refereed proceedings of the 20th International Conference on Asia-Pacific Digital Libraries, ICADL 2018, held in Hamilton, New Zealand, in November 2018. ..The 20 full, 6 short, and 11 work in progress papers presented in this volume were carefully reviewed and selected from 77 submissions. The papers were organized in topical sections named: topic modeling and semantic analysis; social media, web, and news; heritage and localization; user experience; digital library technology; and use cases and digital librarianship..
出版日期Conference proceedings 2018
關(guān)鍵詞artificial intelligence; computational linguistics; data privacy; data security; deep learning; digital l
版次1
doihttps://doi.org/10.1007/978-3-030-04257-8
isbn_softcover978-3-030-04256-1
isbn_ebook978-3-030-04257-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/627826.jpg
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https://doi.org/10.1007/978-3-030-04257-8artificial intelligence; computational linguistics; data privacy; data security; deep learning; digital l
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Maturity and Innovation in Digital Libraries978-3-030-04257-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Towards Semantic Quality Enhancement of User Generated Content, the challenge to evaluate . naturally arises. Previous work has shown the potential to evaluate automatically such content focusing on syntactic and pragmatic levels such as conciseness, organization, and readability. We push forward these efforts and focus on how to develop an intelligent service
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Automatic Labanotation Generation, Semi-automatic Semantic Annotation and Retrieval of Recorded Vide resources. We leverage the advancements in Machine Learning to reduce these costs. We create a semantically searchable dance database with automatic annotation and retrieval. We use a pose estimation module to retrieve body pose and generate Labanotation over recorded videos. Though generic, it pro
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