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Titlebook: Digital Libraries at Times of Massive Societal Transition; 22nd International C Emi Ishita,Natalie Lee San Pang,Lihong Zhou Conference proc

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书目名称Digital Libraries at Times of Massive Societal Transition
副标题22nd International C
编辑Emi Ishita,Natalie Lee San Pang,Lihong Zhou
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Digital Libraries at Times of Massive Societal Transition; 22nd International C Emi Ishita,Natalie Lee San Pang,Lihong Zhou Conference proc
描述This book constitutes the refereed proceedings of the 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, which was planned to be held in Kyoto, Japan, in November/December 2020, but it was held virtually due to the COVID-19 pandemic..The 10 full, 15 short, 4 practitioners, and 10 work-in-progress papers presented in this volume were carefully reviewed and selected from 79 submissions. The papers were organized in topical sections named: natural language processing; knowledge structures; citation data analysis; user analytics; application of cultural and historical data; social media; metadata and infrastructure; and scholarly data mining..
出版日期Conference proceedings 2020
关键词cultural heritage access; cultural heritage analysis; digital humanities; digital libraries; document an
版次1
doihttps://doi.org/10.1007/978-3-030-64452-9
isbn_softcover978-3-030-64451-2
isbn_ebook978-3-030-64452-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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When to Use OCR Post-correction for Named Entity Recognition?tent. This step is crucial for indexing the documents and to make the resulting collections accessible. However, the fact that documents are indexed through their OCRed content is posing a number of problems, due to the varying performance of OCR methods over time. Indeed, OCR quality has a consider
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Wikipedia-Based Entity Linking for the Digital Library of Polish and Poland-Related News Pamphletsld offer the reader additional background information. Two methods of gathering such links are investigated: a Wikifier-based solution and search in Wikipedia using its integrated engine. The results are additionally filtered using frequency information from a large corpus and additional rules.
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