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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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https://doi.org/10.1007/978-3-8349-8168-4oss Entropy constraint Decoding”, which can effectively constrain the content generated by the text when performing multiple selection tasks. This method has obtained SOTA in the evaluation task of CCKS-2022, which fully proves the effectiveness of the method.
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Cascaded Solution for Multi-domain Conditional Question Answering with Multiple-Span Answers,is used for relation extraction of conditions, coarse-grained answers, and fine-grained answers, and the constraint extraction method is based on rules. The proposed solution obtains an F1 value of 0.74487 on the test set (ranking 3rd), and its effectiveness in multi-domain scenarios is verified.
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High-Quality Article Classification Based on Named Entities of Knowledge Graph and Multi-head Attennbalanced samples. Then we selected the top three results in terms of F1 scores for voting fusion. Finally, data augmentation was applied in accordance with certain rules in the fusion results. Our method achieves F1 score of 86.51% on the test set of the task and ranks the second place in the competition.
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Knowledge-Enhanced Classification: A Scheme for Identification of High-Quality Articles, achieved 83.6 F1-score in the official test set and ranked first among all teams in task 2 of CCKS-2022. This paper is divided into four parts: 1) The introduction of our task; 2) Main ideas of our model; 3) Other innovation strategies; 4) Experiments and result.
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