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Titlebook: Health Information Processing. Evaluation Track Papers; 8th China Conference Buzhou Tang,Qingcai Chen,Hui Zong Conference proceedings 2023

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樓主: burgeon
31#
發(fā)表于 2025-3-26 23:55:05 | 只看該作者
32#
發(fā)表于 2025-3-27 03:11:00 | 只看該作者
33#
發(fā)表于 2025-3-27 05:34:02 | 只看該作者
34#
發(fā)表于 2025-3-27 09:57:17 | 只看該作者
Hierarchical Global Pointer Network: An Implicit Relation Inference Method for?Gene-Disease Knowledgirst one to design a unified end-to-end model which can achieve three AGAC tasks simultaneously and alleviate the problem of selective annotation. The experiment results show the method we proposed can achieve F1-scores of 52%, 31% and 30% for three tasks respectively.
35#
發(fā)表于 2025-3-27 17:36:04 | 只看該作者
36#
發(fā)表于 2025-3-27 20:56:33 | 只看該作者
An Automatic Construction Method of Diagnosis and Treatment Decision Tree Based on UIE and Logical Rt needs to be made. This decision can not only mine the core entities and relationships in the text, but also realize the connection of entity relationship information to form a complete decision process. The correct rate of decision tree construction has achieved good results, which proves that the model can effectively generate decision trees.
37#
發(fā)表于 2025-3-27 23:10:24 | 只看該作者
38#
發(fā)表于 2025-3-28 03:18:56 | 只看該作者
Yiwen Jiang,Jingyi Zhaochnet werden. Die Vorberechnungen von in Invarianten zerlegten Minimalpolynomen werden bis auf die Minimalpolynome zweier Gruppen angegeben. Bei den zwei angesprochenen Minimalpolynomen wurde wegen ihrer enormen Gr??e darauf verzichtet.
39#
發(fā)表于 2025-3-28 09:27:35 | 只看該作者
40#
發(fā)表于 2025-3-28 13:31:17 | 只看該作者
Domain Robust Pipeline for?Medical Causal Entity and?Relation Extraction Taskhallenges by introducing noisy entities to solve the exposure bias, adding KL loss to learn from samples with noisy labels, applying multitask learning to escape semantic traps and re-targeting the relationships to increase the robustness of the pipeline.
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