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Titlebook: CCKS 2022 - Evaluation Track; 7th China Conference Ningyu Zhang,Meng Wang,Shumin Deng Conference proceedings 2022 The Editor(s) (if applica

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31#
發(fā)表于 2025-3-26 22:04:22 | 只看該作者
32#
發(fā)表于 2025-3-27 01:42:20 | 只看該作者
Conference proceedings 2022k place in Qinhuangdao, China, in August 2022.?.The 25 full papers presented in this volume were carefully reviewed and selected from 42 submissions. CCKS technology evaluation track aims to provide researchers with platforms and resources for testing knowledge and semantic computing technologies, a
33#
發(fā)表于 2025-3-27 08:04:31 | 只看該作者
34#
發(fā)表于 2025-3-27 09:33:32 | 只看該作者
Georg Dettmar (Generalsekret?r) which we propose a search-enhanced path mining and ranking method. The method divides the process of CKBQA into four parts: question classification, principal entity extraction, search-enhanced candidate path mining and candidate path ranking. Finally, both the preliminary and final evaluation results prove the effectiveness of our method.
35#
發(fā)表于 2025-3-27 14:10:18 | 只看該作者
36#
發(fā)表于 2025-3-27 21:28:27 | 只看該作者
37#
發(fā)表于 2025-3-28 00:25:01 | 只看該作者
38#
發(fā)表于 2025-3-28 05:25:06 | 只看該作者
Diagram Question Answering with Joint Training and Bottom-Up and Top-Down Attention,y regions of interest to questions and use a same model to jointly train multiple choice questions and true false questions. Our approach on test dataset of official CCKS2022 textbook diagram question answering session achieves the accuracy of 58.09%.
39#
發(fā)表于 2025-3-28 08:58:38 | 只看該作者
High Quality Article Recognition Based on Ernie and Knowledge Mapping,he basis of a deeper semantic understanding of the article. We mainly use Ernie pre training model and Article title - knowledge map - the modeling method of part of the article content, the use of pseudo label data sets and other ways to get the predicted value, and finally achieved the result of 0.82 in the B list.
40#
發(fā)表于 2025-3-28 10:26:36 | 只看該作者
1865-0929 ologies, algorithms and systems, promote the technical development in the field of domestic knowledge, and the integration of academic achievements and industrial needs..978-981-19-8299-6978-981-19-8300-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
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