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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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發(fā)表于 2025-3-23 13:15:31 | 只看該作者
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發(fā)表于 2025-3-23 14:07:47 | 只看該作者
How Do Retractions Influence the Citations of Retracted Articles?In this study, we analyzed the citations of 106 psychological articles from Web of Science to explore the influence of retraction using quantitative methods. Our results show that 1) retraction caused a significant decline (1.6–1.8 times) in the post-retraction citations; 2) retractions from open ac
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發(fā)表于 2025-3-23 18:31:25 | 只看該作者
Identification of Research Data References Based on Citation Contexts data repositories. The International Conference on Language Resources and Evaluation (LREC) requires authors to list research data references separately from other publication references. The goal of our research is to automate the discrimination process. We investigated the reference lists in LREC
14#
發(fā)表于 2025-3-24 00:53:00 | 只看該作者
15#
發(fā)表于 2025-3-24 03:46:59 | 只看該作者
Extracting User Interests from Operation Logs on Museum Devices for Post-Learnings in daily life, visitors can obtain various knowledge of museum exhibits for pre-learning by using mobile devices and applications. Also, interactive learning systems in museums are very active in the field of information engineering, and interactive on-site learning is necessary for recent educati
16#
發(fā)表于 2025-3-24 07:11:21 | 只看該作者
Conference proceedings 2020o 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
17#
發(fā)表于 2025-3-24 11:36:33 | 只看該作者
Semi-supervised Named-Entity Recognition for Product Attribute Extraction in Book Domain we apply Named-Entity Recognition model in semi-supervised style to extract the attributes of e-commerce products in book domain. We experiment with the number of features extraction, i.e. lexical, position, word shape, and embedding features. We extract the book attributes from near to 30K product title data with F-1 measure 65%.
18#
發(fā)表于 2025-3-24 17:28:37 | 只看該作者
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發(fā)表于 2025-3-24 21:57:38 | 只看該作者
20#
發(fā)表于 2025-3-25 00:55:54 | 只看該作者
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