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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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發(fā)表于 2025-3-23 13:07:11 | 只看該作者
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發(fā)表于 2025-3-23 17:29:02 | 只看該作者
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發(fā)表于 2025-3-23 20:34:56 | 只看該作者
,Ged?chtnissrede auf Leopold kronecker,ore generalized information retrieval model and a more accurate semantic parsing model without manual involvement of templates. Our method achieves the averaged F1-score of 78.52% on the final test data, and ranks third in the KBQA task of CCKS 2021.
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發(fā)表于 2025-3-23 23:23:02 | 只看該作者
15#
發(fā)表于 2025-3-24 03:09:54 | 只看該作者
https://doi.org/10.1007/978-3-7091-9534-5e-grained event detection task, we propose an event detection scheme based on pre-trained model, combined with data augmentation and pseudo labelling method, which improves the event detection ability of the model. At the same time, we use voting for model ensemble, so as to effectively utilize the
16#
發(fā)表于 2025-3-24 07:11:22 | 只看該作者
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發(fā)表于 2025-3-24 14:31:12 | 只看該作者
Hyperalimentation bei Krebspatienten, to interact with patients and provide clinical advice has attracted more and more attention. In the task of generative medical dialogue, the end-to-end method is often used to establish the model. However, traditional end-to-end models often generate deficient relevance to medical dialogue. Towards
18#
發(fā)表于 2025-3-24 15:03:32 | 只看該作者
https://doi.org/10.1007/978-3-642-67520-1on Knowledge Graph and Semantic Computing (CCKS) 2021. For the NER task, we need to identify the entity boundaries and category labels of six types of entities from Chinese electronic medical records (EMR). And for the Event Extraction task, we need to recognizes a type of tumor event from Chinese E
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發(fā)表于 2025-3-24 21:40:21 | 只看該作者
20#
發(fā)表于 2025-3-25 02:50:51 | 只看該作者
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