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检索条件"机构=Sichuan Key Laboratory of Software Automatic Generation and Intelligent Service"

共 34 条记录，以下是21-30 订阅

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Four Diagnostic Description Extraction in Clinical Records of Traditional Chinese Medicine with Batch Data Oversampling 21

Four Diagnostic Description Extraction in Clinical Records o...

引用

21st Chinese National Conference on Computational Linguistic, CCL 2022

作者： Wang, Yaqiang Li, Kailun Jiang, Yongguang Shu, Hongping College of Software Engineering Chengdu University of Information Technology China Institute for Data Science and Engineering Chengdu University of Information Technology China Sichuan Key Laboratory of Software Automatic Generation and Intelligent Service China Department of Preclinical Medicine Chengdu University of Traditional Chinese Medicine China

Four diagnostic description extraction in clinical records of traditional Chinese medicine (TCM) has important application value in improving the quality and efficiency of TCM clinical syndrome differentiation and treatment. However, the extraction task is yet to be explored, and imbalanced class distribution is one of the key challenges of this task. As a first exploration of this task, we firstly constructed a TCM clinical four diagnostic description extraction corpus and then solved the domain adaptation by fine-tuning the general domain pre-trained language model based on unlabeled TCM clinical records. At last, we trained our proposed four diagnostic description extraction model by utilizing a small labeled dataset through a well-designed batch data oversampling algorithm. The experimental results show that the performance of the proposed method in this paper is better than that of the compared methods, and the proposed method improves the extraction performance F1 score of the rare class by 2.13% on average. © 2022 China National Conference on Computational Linguistics Published under Creative Commons Attribution 4.0 International License.

关键词： Extraction

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Adaptive Effect Evaluation Model of Composite Cloud service in Cloud Manufacturing Environment 6

Adaptive Effect Evaluation Model of Composite Cloud Service ...

引用

6th IEEE International Conference on Computer and Communications, ICCC 2020

作者： Wei, Le Zhao, Qiuyun Chang, Yu Shu, Hongping School of Software Engineering Chengdu University of Information Technology Chengdu China Automatic Software Generation and Intelligence Service Key Laboratory of Sichuan Province Chengdu China

ISBN: (纸本)9781728186351

Composite cloud service adaptive adjustment is an important means to achieve the flexibility of manufacturing cloud service composite flexibility. In order to evaluate the adaptive adjustment effect of composite cloud services and ensure the smooth progress of manufacturing activities, an adaptive effect evaluation model of composite cloud services is proposed. The model adopts a post-evaluation method, taking the user satisfaction, product qualification rate, operational stability, cost, time, and the QoS distance as evaluation indicators. The comprehensive evaluation value is obtained through the weighted sum of each index, avoiding the evaluation distortion caused by a single indicator. The evaluation framework and evaluation algorithm of the adaptive effect evaluation model are given. Combined with examples, the method can reflect the real situation better, and has practical operability. © 2020 IEEE.

关键词： Distributed database systems

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An Information Perception Model in Cloud Manufacturing Environment for Manufacturing Task Execution 6

An Information Perception Model in Cloud Manufacturing Envir...

引用

6th IEEE International Conference on Computer and Communications, ICCC 2020

作者： Zhao, Qiuyun Wei, Le Shu, Hongping School of Software Engineering Chengdu University of Information Technology Chengdu China Automatic Software Generation and Intelligence Service Key Laboratory of Sichuan Province Chengdu China

ISBN: (纸本)9781728186351

Aiming at the problem of information perception in cloud manufacturing environment, this paper proposed a information perception model in cloud manufacturing environment for manufacturing task execution. This model takes manufacturing task execution as the core, and gets cloud manufacturing environment information from the environment of the cloud manufacturing operation platform, physical locations of manufacturing tasks, manufacturing tasks and other cloud services closely related to manufacturing tasks. The information includes the equipment, logistics, human resources, perception capabilities, and maintenance capabilities. Different environment information is perceived by sensors, software agents, GPS, man-machine interfaces and system interaction interfaces. The perceived information would be transformed into events and then merged together. The model realized algorithms of the event transformation and the key event identification. The example analysis shows that the model can acquire changes of cloud manufacturing environment information in time and ensure the execution of manufacturing tasks smoothly. © 2020 IEEE.

关键词： software agents

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An Event-driven Adaptive Strategy for Manufacturing Cloud services

An Event-driven Adaptive Strategy for Manufacturing Cloud Se...

引用

2020 International Conference on Engineering Management of Communication and Technology, EMCTECH 2020

作者： Wei, Le Wang, Ruixiang Zhao, Qiuyun Shu, Hongping School of Software Engineering Chengdu University of Information Technology Chengdu China Laboratory of Sichuan Province Automatic Software Generation and Intelligence Service Key Chengdu China

ISBN: (纸本)9781665404488

In order to ensure the progress of manufacturing tasks smoothly in cloud manufacturing environment, an event-driven adaptive strategy have been proposed for manufacturing cloud services. For the execution of manufacturing tasks and virtual manufacturing units, events that trigger adaptive actions of manufacturing cloud services were divided into three categories of environment, manufacturing tasks and cloud services. There 19 types in detail. An event-driven manufacturing cloud service adaptive model was established. The processing algorithms of different events were given. Combined with an example, the process of event processing was described, and the model and algorithm were verified. Results show that the adaptive strategy can obviously guarantee the development of manufacturing activities in cloud manufacturing environment. © 2020 IEEE.

关键词： Web services

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Label Embedding Enhanced Multi-label Sequence generation Model 9th

Label Embedding Enhanced Multi-label Sequence Generation Mod...

引用

9th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2020

作者： Wang, Yaqiang Yan, Feifei Wang, Xiaofeng Tang, Wang Shu, Hongping College of Software Engineering Chengdu University of Information Technology ChengduSichuan610225 China Sichuan Key Laboratory of Software Automatic Generation and Intelligent Service ChengduSichuan610225 China School of Electronic Engineering Chengdu University of Information Technology ChengduSichuan610225 China Sunsheen Inc. ChengduSichuan610225 China

ISBN: (纸本)9783030604561

Existing sequence generation models ignore the exposure bias problem when they apply to the multi-label classification task. To solve this issue, in this paper, we proposed a novel model, which disguises the label prediction probability distribution as label embedding and incorporate each label embedding from previous step into the current steps LSTM decoding process. It allows the current step can make a better prediction based on the overall output of the previous prediction, rather than simply based on a local optimum output. In addition, we proposed a scheduled sampling-based learning algorithm for this model. The learning algorithm effectively and appropriately incorporates the label embedding into the process of label generation procedure. Through comparing with three classical methods and four SOTA methods for the multi-label classification task, the results demonstrated that our proposed method obtained the highest F1-Score (reaching 0.794 on a chemical exposure assessment task and reaching 0.615 on a clinical syndrome differentiation task of traditional Chinese medicine). © 2020, Springer Nature Switzerland AG.

关键词： Embeddings

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A Context Enhanced Attention Network for Aspect-Based Sentiment Classification

A Context Enhanced Attention Network for Aspect-Based Sentim...

引用

Big Data & Artificial Intelligence & software Engineering (ICBASE), International Conference on

作者： Yinglin Zhu Wenbin Zheng Jiaoling Zheng College of Software Engineering Chengdu University of Information Technology Chengdu China Software Automatic Generation and Intelligent Service Key Laboratory of SiChuan Province Chengdu China

Aspect-based sentiment classification is a fine-grained task in sentiment analysis, it aims to detect the sentiment polarity of an aspect in a given context. Existing approaches mostly focused on the processing of aspect words, which often fail to adequately model the context via aspect terms. However, the surrounding words in context usually have an important impact on the sentiment polarity of aspect words. This paper proposes a context enhanced attention network (CE-ATT) to enhance context modeling for aspect-based sentiment classification. Firstly, the text sequence was divided into left and right contexts by a given aspect. Then, the Bidirectional Long Short Term Memory (BiLSTM) was used to model the left context and aspect, the right context and aspect, and both sides context and aspect, respectively. After summing these contextual representations, an attention mechanism was used to concentrate on the parts that have an important influence on the aspect word. The experimental results on three benchmark datasets demonstrate the effectiveness of the CE-ATT method.

关键词： Sentiment analysis Benchmark testing Task analysis Long short term memory Context modeling software engineering

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An Equipment Cloud service Storage Scheme Based on Domain Division in Cloud Manufacturing Environment

An Equipment Cloud Service Storage Scheme Based on Domain Di...

引用

Information Science, Parallel and Distributed Systems (ISPDS), International Conference on

作者： Qiuyun Zhao Wenli Liao Le Wei Hongping Shu School of Software Engineering Chengdu University of Information Technology Chengdu China Automatic Software Generation and Intelligence Service Key Laboratory of Sichuan Province Chengdu China

ISBN: (数字)9781728196688

ISBN: (纸本)9781728196695

In order to improve the efficiency of cloud service selection in the cloud manufacturing environment, an equipment cloud service storage scheme based on domain division is proposed. Has built an equipment cloud service storage model based on domain division, which divides the storage space into several storage areas according to industry domain, location domain and type domain. Different equipment cloud service is stored in different regions according to different domains. This method uses the index table to quickly locate the search area to narrow the search range and improve the search efficiency. This article proposes a storage solution for equipment cloud service based on Hadoop. HDFS and HBase are used for storing unstructured data and structured data, respectively. This solution satisfied the storage requirements of massive dynamic information of the equipment cloud service.

关键词： Manufacturing Legged locomotion Information science

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Adaptive Effect Evaluation Model of Composite Cloud service in Cloud Manufacturing Environment

Adaptive Effect Evaluation Model of Composite Cloud Service ...

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International Conference on Computer and Communications (ICCC)

作者： Le Wei Qiuyun Zhao Yu Chang Hongping Shu School of Software Engineering Chengdu University of Information Technology Chengdu China Automatic Software Generation and Intelligence Service Key Laboratory of Sichuan Province Chengdu China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

关键词： Adaptation models Decision making Stability criteria Quality of service Manufacturing Task analysis Qualifications

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An Event-driven Adaptive Strategy for Manufacturing Cloud services

An Event-driven Adaptive Strategy for Manufacturing Cloud Se...

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Information Science, Parallel and Distributed Systems (ISPDS), International Conference on

作者： Le Wei Ruixiang Wang Qiuyun Zhao Hongping Shu School of Software Engineering Chengdu University of Information Technology Chengdu China Automatic Software Generation and Intelligence Service Key Laboratory of Sichuan Province Chengdu China

ISBN: (数字)9781728196688

ISBN: (纸本)9781728196695

关键词： Manufacturing Adaptation models Information science

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An Information Perception Model in Cloud Manufacturing Environment for Manufacturing Task Execution

An Information Perception Model in Cloud Manufacturing Envir...

引用

International Conference on Computer and Communications (ICCC)

作者： Qiuyun Zhao Le Wei Hongping Shu School of Software Engineering Chengdu University of Information Technology Chengdu China Automatic Software Generation and Intelligence Service Key Laboratory of Sichuan Province Chengdu China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

关键词： software algorithms User interfaces software agents Sensor systems Manufacturing Sensors Task analysis

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