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Improving entity linking with two adaptive features Research Article

Hongbin ZHANG, Quan CHEN, Weiwen ZHANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1620-1630 doi: 10.1631/FITEE.2100495

Abstract:

(EL) is a fundamental task in natural language processing. Based on neural networks, existing systems pay more attention to the construction of the , but ignore latent semantic information in the and the acquisition of effective information. In this paper, we propose two , in which the first adaptive feature enables the local and s to capture latent information, and the second adaptive feature describes effective information for embeddings. These can work together naturally to handle some uncertain information for EL. Experimental results demonstrate that our EL system achieves the best performance on the AIDA-B and MSNBC datasets, and the best average performance on out-domain datasets. These results indicate that the proposed , which are based on their own diverse contexts, can capture information that is conducive for EL.

Keywords： Entity linking     Local model     Global model     Adaptive features     Entity type    

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Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

Jie ZHOU,Bi-cheng LI,Gang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 940-956 doi: 10.1631/FITEE.1500067

Abstract: Named entity recognition (NER) is a core component in many natural language processing applications.To reduce tagging errors caused by entity classification, we design four types of heuristic rules based

Keywords： NER corpora     Chinese Wikipedia     Entity classification     Domain adaptation     Corpus selection    

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The mechanisms linking adiposopathy to type 2 diabetes

Jichun Yang, Jihong Kang, Youfei Guan

Frontiers of Medicine 2013, Volume 7, Issue 4,   Pages 433-444 doi: 10.1007/s11684-013-0288-9

Abstract:

Obesity is defined as excessive accumulation of body fat in proportion to body size. When obesity occurs, the functions of adipose tissue may be deregulated, which is termed as adiposopathy. Adiposopathy is an independent risk factor for many diseases, including diabetes and cardiovascular diseases. In overweight or obese subjects with adiposopathy, hyperlipidemia exerts lipotoxicity in pancreatic islet and liver and induces pancreatic β cell dysfunction and liver insulin resistance, which are the decisive factors causing type 2 diabetes. Moreover, adipokines have been shown to play important roles in the regulation of glucose homeostasis. When adiposopathy occurs, abnormal changes in the serum adipokine profile correlate with the development and progression of pancreatic β cell dysfunction and insulin resistance in peripheral tissue. The current paper briefly discusses the latest findings regarding the effects of adiposopathy-related lipotoxicity and cytokine toxicity on the development of type 2 diabetes.

Keywords： obesity     adiposopathy     lipotoxicity     adipokines     diabetes    

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Named entity recognition for Chinese construction documents based on conditional random field

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 237-249 doi: 10.1007/s42524-021-0179-8

Abstract: Named entity recognition (NER) is essential in many natural language processing (NLP) tasks such as information

Keywords： NER     NLP     Chinese language     construction document    

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A review on anammox process for the treatment of antibiotic-containing wastewater: Linking effects with

Jinjin Fu, Quan Zhang, Baocheng Huang, Niansi Fan, Rencun Jin

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 1, doi: 10.1007/s11783-020-1309-y

Abstract: Abstract • Anammox is promising for nitrogen removal from antibiotic-containing wastewater. • Most antibiotics could inhibit the anammox performance and activity. • Antibiotic pressure promoted the increase in antibiotic resistance genes (ARGs). • Antibiotic-resistance mechanisms of anammox bacteria are speculated. Antibiotic is widely present in the effluent from livestock husbandry and the pharmaceutical industry. Antibiotics in wastewater usually have high biological toxicity and even promote the occurrence and transmission of antibiotic resistant bacteria and antibiotic resistance genes. Moreover, most antibiotic-containing wastewater contains high concentration of ammonia nitrogen. Improper treatment will lead to high risk to the surrounding environment and even human health. The anaerobic ammonium oxidation (anammox) with great economic benefit and good treatment effect is a promising process to remove nitrogen from antibiotic-containing wastewater. However, antibiotic inhibition has been observed in anammox applications. Therefore, a comprehensive overview of the single and combined effects of various antibiotics on the anammox system is conducted in this review with a focus on nitrogen removal performance, sludge properties, microbial community, antibiotic resistance genes and anammox-involved functional genes. Additionally, the influencing mechanism of antibiotics on anammox consortia is summarized. Remaining problems and future research needs are also proposed based on the presented summary. This review provides a better understanding of the influences of antibiotics on anammox and offers a direction to remove nitrogen from antibiotic-containing wastewater by the anammox process.

Keywords： Anammox     Antibiotic     Mechanism     Inhibition    

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, whichThe existing entity and relation extraction methods that depend on pretrained models have shown promisingSecond, domain rules were built to eliminate noise in entity relations and promote potential entity relationThe F1 value on laser industry entity, unmanned ship entity, laser industry relation, and unmannedentity pair and unmanned ship entity pair datasets, respectively.

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

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A decision-making method about the design quality of component-based active load section entity model

Yuan Hui,Wang Fengshan,Xu Jiheng,Fu Chengqun

Strategic Study of CAE 2013, Volume 15, Issue 5,   Pages 106-112

Abstract: effectively support various topology operation and military damage applications, a component-based entityAccording to the design variety and validity confirmation in component-based protective engineering entitypositive and negative ideal project, the superiority degree model was established for the component-based entityCase showed that model effectively solved the decision-making problem about entity model design operations, which provided one theory and method for scientific decision-making practice in entity model design

Keywords： protective engineering     component     design quality     entity model     intuitionistic fuzzy sets     superiority    

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A network security entity recognition method based on feature template and CNN-BiLSTM-CRF Research Papers

Ya QIN, Guo-wei SHEN, Wen-bo ZHAO, Yan-ping CHEN, Miao YU, Xin JIN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6,   Pages 872-884 doi: 10.1631/FITEE.1800520

Abstract: It is difficult for traditional named entity recognition methods to identify mixed security entitiesIn this paper, we propose a novel FT-CNN-BiLSTM-CRF security entity recognition method based on a neural

Keywords： Network security entity     Security knowledge graph (SKG)     Entity recognition     Feature template     Neural network    

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Semantics for linking data from 4D BIM to digital collaborative support

Calin BOJE, Veronika BOLSHAKOVA, Annie GUERRIERO, Sylvain KUBICKI, Gilles HALIN

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 104-116 doi: 10.1007/s42524-020-0111-7

Abstract: Synchronous collaboration sessions within the context of 4D BIM position construction professionals into a complex socio–technical system. This system includes hardware, software, people, and broader community aspects. This article strictly focuses on the ontology representation of synchronous collaboration sessions with collocated collective decision-making. The model is designed by considering various 4D BIM model uses while a digital multiuser touch table facilitates the collaboration between actors. The outlined ontological model aims to improve interoperability and to move toward a knowledge-driven, smart-built environment paradigm. A knowledge engineering methodology is outlined, by virtue of which the semantics of the presented model are defined and discussed. Concepts from nearby knowledge fields, especially from the Industry Foundation Classes, are reused. Several examples on querying the knowledge base according to the project meeting requirements are outlined to demonstrate the benefits of using the model. Although 4D BIM model data can be imported by using standard formats, capturing data about the social context remains a challenge in the future. This is expected to change the ontology model structure by considering user ergonomics, data modeling requirements, as well as technical implementation constraints.

Keywords： 4D BIM     ontology     IFC     decision-making     linked data     collaboration     planning    

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Linking key intervention timings to rapid declining effective reproduction number to quantify lessons

Zhihang Peng, Wenyu Song, Zhongxing Ding, Quanquan Guan, Xu Yang, Qiaoqiao Xu, Xu Wang, Yankai Xia

Frontiers of Medicine 2020, Volume 14, Issue 5,   Pages 623-629 doi: 10.1007/s11684-020-0788-3

Abstract: Coronavirus disease 2019 (COVID-19) is currently under a global pandemic trend. The efficiency of containment measures and epidemic tendency of typical countries should be assessed. In this study, the efficiency of prevention and control measures in China, Italy, Iran, South Korea, and Japan was assessed, and the COVID-19 epidemic tendency among these countries was compared. Results showed that the effective reproduction number( ) in Wuhan, China increased almost exponentially, reaching a maximum of 3.98 before a lockdown and rapidly decreased to below 1 due to containment and mitigation strategies of the Chinese government. The in Italy declined at a slower pace than that in China after the implementation of prevention and control measures. The in Iran showed a certain decline after the establishment of a national epidemic control command, and an evident stationary phase occurred because the best window period for the prevention and control of the epidemic was missed. The epidemic in Japan and South Korea reoccurred several times with the fluctuating greatly. The epidemic has hardly rebounded in China due to the implementation of prevention and control strategies and the effective enforcement of policies. Other countries suffering from the epidemic could learn from the Chinese experience in containing COVID-19.

Keywords： COVID-19     epidemic control comparison     Chinese experience    

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An Analysis of Industrial Linking Technologies and the Development Direction for the Green Chemical Industry

Li Jin,Hu Shanying,Chen Dingjiang,Song Xiaoxu,Zhang Qun,Fan Jiongming,Ma Shujie,,Ma Shujie and Jin Yong

Strategic Study of CAE 2017, Volume 19, Issue 3,   Pages 72-79 doi: 10.15302/J-SSCAE-2017.03.011

Abstract:

During the 13th Five-Year Plan, significant progress has been made in the green development of China's chemical industry, not only by increasing product yields, but also by significantly reducing resource consumption, energy consumption, and pollution emission. Green manufacturing is necessary in order to achieve sustainable development in China. In order to realize the green development of the chemical industry, it is necessary to pay attention not only to green manufacturing in the chemical industry, but also to green coordinated development when the chemical industry links with other industries and society. Based on the current situation and development directions of the green chemical industry in China, these authors put forward key technologies in the linkage between the chemical industry and the green manufacturing industry, and demonstrate a typical pattern analysis using five business cases.

Keywords： green manufacturing     industrial linking technology     strategy     chemical industry    

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Linking elements to outcomes of knowledge transfer in the project environment: Current review and future

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 221-238 doi: 10.1007/s42524-022-0195-3

Abstract: This study builds a theoretical framework linking transfer elements to outcomes that can serve as a basis

Keywords： knowledge transfer     knowledge management     project management     project environment     literature review    

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Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural

Won-Mo Jung, In-Soo Park, Ye-Seul Lee, Chang-Eop Kim, Hyangsook Lee, Dae-Hyun Hahm, Hi-Joon Park, Bo-Hyoung Jang, Younbyoung Chae

Frontiers of Medicine 2019, Volume 13, Issue 1,   Pages 112-120 doi: 10.1007/s11684-017-0582-z

Abstract: Comprehension of the medical diagnoses of doctors and treatment of diseases is important to understand the underlying principle in selecting appropriate acupoints. The pattern recognition process that pertains to symptoms and diseases and informs acupuncture treatment in a clinical setting was explored. A total of 232 clinical records were collected using a Charting Language program. The relationship between symptom information and selected acupoints was trained using an artificial neural network (ANN). A total of 11 hidden nodes with the highest average precision score were selected through a tenfold cross-validation. Our ANN model could predict the selected acupoints based on symptom and disease information with an average precision score of 0.865 (precision, 0.911; recall, 0.811). This model is a useful tool for diagnostic classification or pattern recognition and for the prediction and modeling of acupuncture treatment based on clinical data obtained in a real-world setting. The relationship between symptoms and selected acupoints could be systematically characterized through knowledge discovery processes, such as pattern identification.

Keywords： acupuncture     indication     neural network     pattern identification     prediction    

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Reaction and characterization of crosslinking hyperbranched poly (amine-ester) with succine anhydride

XIAO Ling, WEI Xiuzhen, ZHU Baoku

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 4,   Pages 355-359 doi: 10.1007/s11705-007-0064-y

Abstract: Basing on hydroxyl terminated hyperbranched poly (amine-ester)s (HPAEs), the cross-linking reactionsIt was proved that the cross-linking reaction between HPAE and SA followed a two-step mechanism.By varying SA content, the solid HPAE/SA films with different cross-linking degrees were prepared successfully

Keywords： different cross-linking     amine-ester     temperature     crosslinked     efficient    

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LINKING CROP WATER PRODUCTIVITY TO SOIL PHYSICAL, CHEMICAL AND MICROBIAL PROPERTIES

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 4,   Pages 545-558 doi: 10.15302/J-FASE -2020349

Abstract:

Agriculture uses a large proportion of global and regional water resources. Due to the rapid increase of population in the world, the increasing competition for water resources has led to an urgent need in increasing crop water productivity for agricultural sustainability. As the medium for crop growth, soils and their properties are important in affecting crop water productivity. This review examines the effects of soil physical, chemical, and microbial properties on crop water productivity and the quantitative relationships between them. A comprehensive view of these relationships may provide important insights for soil and water management in arable land for agriculture in the future.

 

Keywords： crop water productivity     crop yield     soil chemical properties     soil microbial properties     soil physical properties     water consumption    

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Title Author Date Type Operation

Improving entity linking with two adaptive features

Hongbin ZHANG, Quan CHEN, Weiwen ZHANG

Journal Article

Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

Jie ZHOU,Bi-cheng LI,Gang CHEN

Journal Article

The mechanisms linking adiposopathy to type 2 diabetes

Jichun Yang, Jihong Kang, Youfei Guan

Journal Article

Named entity recognition for Chinese construction documents based on conditional random field

Journal Article

A review on anammox process for the treatment of antibiotic-containing wastewater: Linking effects with

Jinjin Fu, Quan Zhang, Baocheng Huang, Niansi Fan, Rencun Jin

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

A decision-making method about the design quality of component-based active load section entity model

Yuan Hui,Wang Fengshan,Xu Jiheng,Fu Chengqun

Journal Article

A network security entity recognition method based on feature template and CNN-BiLSTM-CRF

Ya QIN, Guo-wei SHEN, Wen-bo ZHAO, Yan-ping CHEN, Miao YU, Xin JIN

Journal Article

Semantics for linking data from 4D BIM to digital collaborative support

Calin BOJE, Veronika BOLSHAKOVA, Annie GUERRIERO, Sylvain KUBICKI, Gilles HALIN

Journal Article

Linking key intervention timings to rapid declining effective reproduction number to quantify lessons

Zhihang Peng, Wenyu Song, Zhongxing Ding, Quanquan Guan, Xu Yang, Qiaoqiao Xu, Xu Wang, Yankai Xia

Journal Article

An Analysis of Industrial Linking Technologies and the Development Direction for the Green Chemical Industry

Li Jin,Hu Shanying,Chen Dingjiang,Song Xiaoxu,Zhang Qun,Fan Jiongming,Ma Shujie,,Ma Shujie and Jin Yong

Journal Article

Linking elements to outcomes of knowledge transfer in the project environment: Current review and future

Journal Article

Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural

Won-Mo Jung, In-Soo Park, Ye-Seul Lee, Chang-Eop Kim, Hyangsook Lee, Dae-Hyun Hahm, Hi-Joon Park, Bo-Hyoung Jang, Younbyoung Chae

Journal Article

Reaction and characterization of crosslinking hyperbranched poly (amine-ester) with succine anhydride

XIAO Ling, WEI Xiuzhen, ZHU Baoku

Journal Article

LINKING CROP WATER PRODUCTIVITY TO SOIL PHYSICAL, CHEMICAL AND MICROBIAL PROPERTIES

Journal Article