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

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Yiwen Jiang,Jingyi Zhaoungen zweiter Ordnung durch Einsetzen in L?sungsformeln auf Gleichungen dritter Ordnung mit endlicher primitiver Galoisgruppe durchgeführt. ?hnlich der Vorgehensweise aus Kapitel 3 werden erst die Basen für die Invariantenringe der unimodularen primitiven endlichen Gruppen vom Grad 3 bestimmt, unter

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A Knowledge-Based Data Augmentation Framework for?Few-Shot Biomedical Information Extractionficult to extract automatically. Natural language processing makes it possible to mine these knowledge automatically. At present, most information extraction models need enough data to achieve good performance. Due to the scarcity of high-quality biomedical labeled data, it is still difficult to ext

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CHIP2022 Shared Task Overview: Medical Causal Entity Relationship Extractiontients. Therefore, there are a large number of causal correlations in medical concepts such as symptoms, diagnosis and treatment in the text of the results of the inquiry. Explanation of relationships, and mining these relationships from text is of great help in improving the accuracy and interpreta

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A Multi-span-Based Conditional Information Extraction Modelcal knowledge graph construction, intelligent diagnosis and medical question-answering. Based on the evaluation task of China Conference on Health Information Processing 2022 (CHIP 2022), we propose a Multi-span-based Conditional Information Extraction model (MSCIE), which can well solve the conditi

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Medical Causality Extraction: A Two-Stage Based Nested Relation Extraction Modelconsultation process. In this paper, we present our approach to medical causal entity and relation extraction in the 8th China Health Information Processing Conference (CHIP 2022) Open Shared Task. Nested relations and overlapping relations with shared entities are two major challenges in this task.