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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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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 informationextraction and document classification.

Keywords： NER     NLP     Chinese language     construction document    

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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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Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 4,   Pages 448-455 doi: 10.1007/s11709-014-0262-x

Abstract: Rock mass classification system is very suitable for various engineering design and stability analysisclassification method is confirmed by Japan Highway Public Corporation that this method can figure outThese equations as a new method were able to optimize the support system for and classification systemsFrom classification and its application in these case studies, it is pointed out that the methodfor the design of support systems in underground working is more reliable than the and classification

Keywords： JH classification     Q and RMR classification     new method    

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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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Molecular classification and precision therapy of cancer: immune checkpoint inhibitors

Yingyan Yu

Frontiers of Medicine 2018, Volume 12, Issue 2,   Pages 229-235 doi: 10.1007/s11684-017-0581-0

Abstract: Taking gastric cancer as an example, its molecular classification is built on genome abnormalities, butSubsequently, by using their findings, oncologists will carry out targeted therapy based on molecular classification

Keywords： molecular classification     precision medicine     pembrolizumab     PD-1/PD-L1     MSI-H    

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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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An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 292-298 doi: 10.1007/s11465-006-0022-2

Abstract: To deal with pattern classification of complicated mechanical faults, an approach to multi-faults classificationKPCA is good at detection of machine abnormality while GDA performs well in multi-faults classificationWhen the proposed method is applied to air compressor condition classification and gear fault classification, an excellent performance in complicated multi-faults classification is presented.

Keywords： generalized discriminant     non-separable     abnormality     classification     multi-faults classification    

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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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EAI-oriented information classification code system in manufacturing enterprises

WANG Junbiao, DENG Hu, JIANG Jianjun, YANG Binghong, WANG Bailing

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 81-85 doi: 10.1007/s11465-008-0011-8

Abstract: Although the traditional information classification coding system in manufacturing enterprises (MEs)integration (EAI) in manufacturing enterprises, an enterprise application integration oriented information classificationEAIO-ICCS expands the connotation of the information classification code system and assures the identity

Keywords： EAI     EAIO-ICCS     management     classification     connotation    

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Fault classification and reconfiguration of distribution systems using equivalent capacity margin method

K. Sathish KUMAR, T. JAYABARATHI

Frontiers in Energy 2012, Volume 6, Issue 4,   Pages 394-402 doi: 10.1007/s11708-012-0211-0

Abstract: This paper investigates the capability of support vector machines (SVM) for prediction of fault classificationHere, the SVM has been used as a classification.

Keywords： machines (SVM)     structural risk minimization (SRM)     equivalent capacity margin (ECM)     restoration     fault classification    

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Progress on molecular biomarkers and classification of malignant gliomas

Chuanbao Zhang, Zhaoshi Bao, Wei Zhang, Tao Jiang

Frontiers of Medicine 2013, Volume 7, Issue 2,   Pages 150-156 doi: 10.1007/s11684-013-0267-1

Abstract: However, heterogeneity in patient outcomes may still be observed, which highlights the insufficiency of a classification

Keywords： malignant glioma     molecular biomarker     IDH1     MGMT     molecular classification    

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Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 930-939 doi: 10.1631/FITEE.1500125

Abstract: Finally, feature extraction filters are optimized together with the weight of the classification componentthrough training, to minimize the classification error.

Keywords： Head pose estimation     Deep convolutional neural network     Multiclass classification    

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Modular design of typical rigid links in parallel kinematic machines: Classification and topology optimization

Xinjun LIU, Xiang CHEN, Zhidong LI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 2,   Pages 199-209 doi: 10.1007/s11465-012-0315-6

Abstract: seeking optimal structures with best mechanical performances is analyzed and processed in two steps: classification

Keywords： parallel kinematic machines (PKMs)     modular design     classification     topology optimization and improved Guide-Weight    

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Arthrogryposis multiplex congenita: classification, diagnosis, perioperative care, and anesthesia

Lulu Ma,Xuerong Yu

Frontiers of Medicine 2017, Volume 11, Issue 1,   Pages 48-52 doi: 10.1007/s11684-017-0500-4

Abstract: Thus, accurate diagnosis and classification are crucial to the appropriate treatment of AMC.treatment and perioperative management of patients undergoing surgery, as well as the diagnosis and classification

Keywords： arthrogryposis     amyoplasia     distal arthrogryposis     anesthesia    

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Title Author Date Type Operation

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

Jie ZHOU,Bi-cheng LI,Gang CHEN

Journal Article

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

Journal Article

Improving entity linking with two adaptive features

Hongbin ZHANG, Quan CHEN, Weiwen ZHANG

Journal Article

Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Journal Article

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

Journal Article

Molecular classification and precision therapy of cancer: immune checkpoint inhibitors

Yingyan Yu

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

An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

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

EAI-oriented information classification code system in manufacturing enterprises

WANG Junbiao, DENG Hu, JIANG Jianjun, YANG Binghong, WANG Bailing

Journal Article

Fault classification and reconfiguration of distribution systems using equivalent capacity margin method

K. Sathish KUMAR, T. JAYABARATHI

Journal Article

Progress on molecular biomarkers and classification of malignant gliomas

Chuanbao Zhang, Zhaoshi Bao, Wei Zhang, Tao Jiang

Journal Article

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Journal Article

Modular design of typical rigid links in parallel kinematic machines: Classification and topology optimization

Xinjun LIU, Xiang CHEN, Zhidong LI

Journal Article

Arthrogryposis multiplex congenita: classification, diagnosis, perioperative care, and anesthesia

Lulu Ma,Xuerong Yu

Journal Article