Titlebook: Knowledge Science, Engineering and Management; 14th International C Han Qiu,Cheng Zhang,Sun-Yuan Kung Conference proceedings 2021 Springer

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Linhui Feng,Linbo Qiao,Yi Han,Zhigang Kan,Yifu Gao,Dongsheng Lien Universitäten ist bis in das 19. Jahrhundert hinein das Ordinariat für Anatomie zumeist noch mit dem für Chirurgie verknüpft. Noch 1777 wird Philipp Friedrich Theodor Meckel (1755–1803) in Halle als Ordinarius für Anatomie, Chirurgie und Geburtshilfe berufen.. In Leipzig besteht das gemeinsame Or

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Qingqing Li,Zhen Huang,Yong Dou,Ziwen Zhangogie eingebettet sein. Dies ist hier weder möglich noch sinnvoll. Wir begnügen uns mit Anmerkungen, die zeigen sollen, welche Hilfestellungen die Histopathologie bei der Entwicklung einer wissenschaftlichen Dermatologie leisten konnte. Die frühen Spezialwerke über Hautkrankheiten erscheinen in der e

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0302-9743 ment, KSEM 2021, held in Tokyo, Japan, in August 2021..The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; kn

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English Cloze Test Based on BERTer, we consider the compound words in articles and make an improvement to help the model handling these kind of words. The experimental results show that our model performs well on questions of compound words and has better accuracy on CLOTH dataset.

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Traffic Route Planning in Partially Observable Environment Using Actions Group Representationcant advantages in multi-step planning with information partially observable. Using the action group Representation, we build a more “visionary” system. Extensive experiments offer insight into the efficiency of proposed algorithms.

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Chinese Relation Extraction with Flat-Lattice Encoding and Pretrain-Transfer Strategyy of the binary classifier to multi-class identification. Experiments on SanWen, FinRE, and ACE-2005 corpora demonstrate that our methods are effective and outperform other relation extraction models in performance.

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An Automatic Method for Understanding Political Polarization Through Social Mediaethod are raw social media data, and the outputs are representative phrases for different political sides. Using real-world data from Twitter, we also verify that the representative phrases our method generates are consistent with our general knowledge of political polarization in Japan.

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