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Titlebook: CCKS 2021 - Evaluation Track; 6th China Conference Bing Qin,Haofen Wang,Jiangtao Zhang Conference proceedings 2022 Springer Nature Singapor

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21#
發(fā)表于 2025-3-25 06:26:05 | 只看該作者
Nachsorge und Krankheitsverlaufsanalysee labeled data sets. In contrast, information extraction directly oriented to web search results is more flexible, practical and challenging. The evaluation task of .-2021 “Aminer Scholar Profiling” requires accurate extraction of character attributes in the limited search range. A group of web info
22#
發(fā)表于 2025-3-25 09:48:29 | 只看該作者
Nachsorge nach Krebsoperationenraction for the Chinese electronic medical records. Two annotated data sets for the two subtasks were provided for participators. Our model on the test dataset achieves the strict F1-Measure of 0.7684 which ranked the first place.
23#
發(fā)表于 2025-3-25 11:51:08 | 只看該作者
J. Anderson,G. Goos,Claus Duhmeof event expressions to achieve the unity of data. Based on the Roberta pre-trained model, aiming at the problem of unbalanced distribution of difficult and easy cases in data, the effectiveness of various methods to enhance the generalization ability of the model is explored, including different da
24#
發(fā)表于 2025-3-25 16:58:53 | 只看該作者
Wettbewerbsvorteil Nachtexpress,cts have fully proved its military value. Since knowledge graph is the information basis of intelligence, how to build a high-quality unmanned aerial vehicle knowledge graph is the focus of this paper. In this work, we propose an effective method to construct a knowledge graph from textual data. We
25#
發(fā)表于 2025-3-25 21:45:57 | 只看該作者
26#
發(fā)表于 2025-3-26 01:06:06 | 只看該作者
Grundlagen der digitalen Datenübertragungseveral strategies, ensemble multi models to retrieve the final predictions. Eventually our approach performs on the competition data set well with an F1-score of 0.8033 and takes the first place on the leaderboard.
27#
發(fā)表于 2025-3-26 04:38:04 | 只看該作者
28#
發(fā)表于 2025-3-26 08:53:56 | 只看該作者
29#
發(fā)表于 2025-3-26 14:21:29 | 只看該作者
J. Anderson,G. Goos,Claus Duhmeta input methods, data enhancement, different loss functions, adversarial learning, contrastive learning. The best data input and model training methods are finally selected. On the CCKS2021 event co-reference resolution task for communication field, the f1 value of single model reaches 0.80 in test dataset 1 and 0.89 in test dataset 2.
30#
發(fā)表于 2025-3-26 18:48:28 | 只看該作者
Conference proceedings 2022d in Guangzhou, China, in December 2021..The 17 competition papers went through a rigorious peer review and were accepted for publication.?CCKS 2021 technology evaluation track aims to provide researchers with platforms and resources for testing knowledge and semantic computing technologies, algorit
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