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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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楼主: burgeon
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Medical Decision Tree Extraction: A Prompt Based Dual Contrastive Learning Methodthe field of information extraction. In this paper, we present an approach to extract medical decision trees from medical texts (aka. Text2DT) in the 8th China Health Information Processing Conference (CHIP 2022) Open Shared Task.. Text2DT task involves the construction of tree nodes using relation
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Research on Decision Tree Method of Medical Text Based on Information Extraction general direction is to use pipeline extraction methods, which can be divided into two steps: triplet extraction and decision tree generation. However, in the previous research method, there are some problems in triplet extraction and decision tree generation, which lead to poor effect of the whole
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TripleMIE: Multi-modal and Multi Architecture Information Extraction a very challenging task. Compared with traditional manual entry, the application of OCR and NLP technology can effectively improve work efficiency and reduce the training cost of business personnel. Using OCR and NLP technology to digitize and structure the information on these paper materials has
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Yiwen Jiang,Wentao Xieal state. Based upon the prejudice that so-called linear systems are completely the same as linear systems, so-called linear systems were treated separately..In the monograph, it was also shown that so-called linear systems can be obtained from input/output data from a single experiment.
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