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Fine-Grained Opinion Mining on Chinese Car Reviews with Conditional Random Field

Journal of Shanghai Jiaotong university(Science) 2020年第3期25卷 325-332页

作者： wang yinglin School of Information Management and Engineering Shanghai University of Finance and EconomicsShanghai 200433China

Nowadays,the Internet has penetrated into all aspects of people's lives.A large number of online customer reviews have been accumulated in several product forums,which are valuable resources to be ***,these customer reviews are unstructured textual data,in which a lot of ambiguities exist,so analyzing them is a challenging *** present,the effective deep semantic or fine-grained analysis of customer reviews is rare in the existing literature,and the analysis quality of most studies is also ***,in this paper a fine-grained opinion mining method is introduced to extract the detailed semantic information of opinions from multiple perspectives and aspects from Chinese automobile *** conditional random field (CRF) model is used in this method,in which semantic roles are divided into two *** group relates to the objects being reviewed,which includes the roles of manufacturer,the brand,the type,and the aspects of *** other group of semantic roles is about the opinions of the objects,which includes the sentiment description,the aspect value,the conditions of opinions and the sentiment *** overall framework of the method includes three major *** first step distinguishes the relevant sentences with the irrelevant sentences in the *** the second step the relevant sentences are further classified into different *** the third step fine-grained semantic roles are extracted from sentences of each *** data used in the training process is manually annotated in fine granularity of semantic *** features used in this CRF model include basic word features,part-of-speech (POS) features,position features and dependency syntactic *** combinations of these features are *** results are analyzed and future directions are discussed.

关键词： Chinese opinion mining conditional random field(CRF) semantic role labelling Chinese car reviews

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Fine-Grained Opinion Extraction from Chinese Car Reviews with an Integrated Strategy

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Journal of Shanghai Jiaotong university(Science) 2018年第5期23卷 620-626页

作者： wang yinglin wang Ming School of Information Management and Engineering Shanghai University of Finance and EconomicsShanghai 200433China

With rapid development of E-commerce, a large amount of data including reviews about different types of products can be accessed within short time. On top of this, opinion mining is becoming increasingly effective to extract valuable information for product design, improvement and brand marketing, especially with fine-grained opinion mining. However, limited by the unstructured and causal expression of opinions, one cannot extract valuable information conveniently. In this paper, we propose an integrated strategy to automatically extract feature-based information, with which one can easily acquire detailed opinion about certain *** adaptation to the reviews' characteristics, our strategy is made up of a multi-label classification(MLC) for reviews, a binary classification(BC) for sentences and a sentence-level sequence labelling with a deep learning method. During experiment, our approach achieves 82% accuracy in the final sequence labelling task under the setting of a 20-fold cross validation. In addition, the strategy can be expediently employed in other reviews as long as there is an according amount of labelled data for startup.

关键词： opinion extraction multi-label classification (MLC) binary classification (BC) sequence labelling recurrent neural network (RNN)

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Combining rough set theory and instance selection in ontology mapping

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High Technology Letters 2008年第3期14卷 258-265页

作者： Qian Pengfei wang yinglin Zhang Shensheng Deptartment of Computer Science and Engineering Shanghai Jiaotong UniversityShanghai 200240P.R.China

This paper presents a novel ontology mapping approach based on rough set theory and instance *** this appoach the construction approach of a rough set-based inference instance base in which the instance selection(involving similarity distance,clustering set and redundancy degree)and discernibility matrix-based feature reduction are introduced respectively;and an ontology mapping approach based on multi-dimensional attribute value joint distribution is *** core of this mapping aI overlapping of the inference instance *** valuable instances and important attributes can be selected into the ontology mapping based on the multi-dimensional attribute value joint distribution,so the sequently mapping efficiency is *** time complexity of the discernibility matrix-based method and the accuracy of the mapping approach are evaluated by an application example and a series of analyses and comparisons.

关键词： ontology mapping instance selection rough set feature reduction

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Novel two-step CdS deposition strategy to improve the performance of Cu2ZnSn(S,Se)4 solar cell

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Journal of Energy Chemistry 2020年第3期29卷 77-82页

作者： Lifang Teng Junye Tong Gang wang Lingling wang Liping Chen Shaotong wang yinglin wang Daocheng Pan Xintong Zhang Yichun Liu Center for Advanced Optoelectronic Functional Materials Research and Key Laboratory of UV-Emitting Materials and Technology of Ministry of EducationNortheast Normal UniversityChangchun 130024JilinChina State Key Laboratory of Rare Earth Resource Utilization Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022JilinChina

Kesterite Cu2ZnSn(S,Se)4(CZTSSe)solar cells have drawn worldwide attention for their promising photovoltaics performance and earth-abundant element composition,yet the record efficiency of this type of device is still far lower than its theoretical conversion *** band alignment and severe non-radiative recombination at CZTSSe/CdS heterojunction interfaces are the major causes limiting the current/voltage output and overall device ***,we propose a novel two-step CdS deposition strategy to improve the quality of CZTSSe/CdS heterojunction interface and thereby improve the performance of CZTSSe solar *** two-step strategy includes firstly pre-deposits CdS thin layer on CZTSSe absorber layer by chemical bath deposition(CBD),followed with a mild heat treatment to facilitate element inter-diffusion,and secondly deposits an appropriate thickness of CdS layer by CBD to cover the whole surface of pre-deposited CdS and CZTSSe *** solar energy conversion efficiency of CZTSSe solar cells with two-step deposited CdS layer approaches to 8.76%(with an active area of about 0.19 cm2),which shows an encouraging improvement of over 87.98%or 30.16%compared to the devices with traditional CBD-deposited CdS layer without and with the mild annealing process,*** performance enhancement by the two-step CdS deposition is attributed to the formation of more favorable band alignment at CZTSSe/CdS interface as well as the effective decrease in interfacial recombination paths on the basis of material and device *** two-step CdS deposition strategy is simple but effective,and should have large room to improve the quality of CZTSSe/CdS heterojunction interface and further lift up the conversion efficiency of CZTSSe solar cells.

关键词： Kesterite Solar cell CdS Two-step deposition Heterojunction interface

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Rigorous Running Time Analysis of a Simple Immune-Based Multi-Objective Optimizer for Bi-Objective Pseudo-Boolean Functions

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Journal of Shanghai Jiaotong university(Science) 2018年第6期23卷 827-833页

作者： ZHOU Shiyuan PENG Xue wang yinglin XIA Xiaoyun School of Information Management and Engineering Shanghai University of Finance and EconomicsShanghai 200433China School of Mathematics and Systems Science Guangdong Polytechnic Normal UniversityGuangzhou 510665China Office of Budget and Finance Jiaxing UniversityJiaxing 314001ZhejiangChina College of Mathematics Physics and Information EngineeringJiaxing UniversityJiaxing 314001ZhejiangChina

A simple immune-based multi-objective optimizer(IBMO) is proposed, and a rigorous running time analysis of IBMO on three proposed bi-objective pseudo-Boolean functions(Bi-Trap, Bi-Plateau and Bi-Jump) is presented. The running time of a global simple evolutionary multi-objective optimizer(GSEMO) using standard bit mutation operator with IBMO using somatic contiguous hypermutation(CHM) operator is compared with these three functions. The results show that the immune-based hypermutation can significantly beat standard bit mutation on some well-known multi-objective pseudo-Boolean functions. The proofs allow us to understand the relationship between the characteristics of the problems and the features of the algorithms more deeply. These analysis results also give us a good inspiration to analyze and design a bio-inspired search heuristics.

关键词： evolutionary algorithm running time analysis somatic contiguous hypermutation

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Parameters measurement for the thermal neutron beam in the thermal column hole of Xi'an pulse reactor

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Science China(Technological Sciences) 2010年第5期53卷 1220-1224页

作者： ShuHuan Liu XinBiao Jiang YunHong Zhong QingYu Yu WenShou Zhang Kai wang Jun Yang yinglin wang School of Nuclear Science & Technology Xi’an Jiaotong University Xi’an China Northwest Institute of Nuclear Technology Xi’an China

The distribution of the neutron spectra in the thermal column hole of Xi'an pulse reactor was measured with the time-of-flight *** with the thermal Maxwellian theory neutron spectra,the thermal neutron spectra measured is a little softer,and the average neutron energy of the experimental spectra is about 0.042±0.01 *** thermal neutron fluence rate at the front end of thermal column hole,measured with gold foil activation techniques,is about 1.18×105 cm-2 *** standard uncertainty of the measured thermal neutron fluence is about 3%.The spectra-averaged cross section of 197Au(n,γ) determined by the experimental thermal neutron spectra is(92.8±0.93) ×10-24 cm2.

关键词： thermal neutron spectra time-of-flight method neutron fluence reactor

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TiO_2 nanoparticle-based electron transport layer with improved wettability for efficient planar-heterojunction perovskite solar cell

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Journal of Energy Chemistry 2015年第6期24卷 717-721页

作者： Peng Chen yinglin wang Meiqi wang Xintong Zhang Lingling wang Yichun Liu Center for Advanced Optoelectronic Functional Materials Research and Key Laboratory of UV-Emitting Materials and Technology of Ministry of EducationNortheast Normal University

The electron transport layer （ETL） plays an important role in planar heterojunction perovskite solar cell （PSCs）, by affecting the light-harvesting, electron injection and transportation processes, and especially the crystal- lization of perovskite absorber. In this work, we utilized a commercial TKD-TiO2 nanoparticle with a small diameter of 6 nm for the first time to prepare a compact ETL by spin coating. The packing of small-size particles endowed TKD-TiO2 ETL an appropriate surface-wettability, which is beneficial to the crystallization of perovskite deposited via solution-processed method. The uniform and high-transmittance TKD-TiO2 films were successfully incorporated into PSCs as ETLs. Further careful optimization of ETL thickness gave birth to a highest power conversion efficiency of 11.0%, which was much higher than that of PSC using an ETL with the same thickness made by spray pyrolysis. This TKD-TiO2 provided a universal solar material suitable for the further large-scale production of PSCs. The excellent morphology and the convenient preparation method of TKD-TiO2 film gave it an extensive application in photovoltaic devices.

关键词： TiO2 nanoparticle Planar-heterojunction Perovskite solar cell Wettability Electron transport layers

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Model-Driven Derivation of Domain Functional Requirements from Use Cases

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Journal of Software Engineering and Applications 2010年第9期3卷 875-881页

作者： Jianmei Guo Zheying Zhang yinglin wang 不详

Domain analysis is essential to core assets development in software product line engineering. Most existing approaches, however, depend on domain experts’ experience to analyze the commonality and variability of systems in a domain, which remains a manual and intensive process. This paper addresses the issue by proposing a model-driven approach to automating the domain requirements derivation process. The paper focuses on the match between the use cases of existing individual products and the domain functional requirements of a product line. By introducing a set of linguistic description dimensions to differentiate the sub-variations in a use case, the use case template is extended to model variability. To this end, a transformation process is formulated to sustain and deduce the information in use cases, and to match it to domain functional requirements. This paper also presents a prototype which implements the derivation as a model transformation described in a graphical model transformation language MOLA. This approach complements existing domain analysis techniques with less manual operation cost and more efficiency by automating the domain functional requirements development.

关键词： Software Product Lines Domain Analysis Model Transformation Use Cases Functional Requirements

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The Suppression of Trap State via Compensating Ligand for High-Performance PbS Quantum Dot Solar Cell

The Suppression of Trap State via Compensating Ligand for Hi...

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第十届新型太阳能材料科学与技术学术研讨会

作者： Chao wang yinglin wang Xintong Zhang Center for Advanced Optoelectronic Functional Materials Research and Key Laboratory of UV Light-Emitting Materials and Technology of Ministry of EducationNortheast Normal University

Currently,oleate-capped lead sulfide quantum dots(PbS CQDs) can be synthesized by decomposing PbO in hot oleic acid,the by-product of reaction is *** water molecule-which exists as a dimer of lead carboxylate hydrate-are arduous to remove from reaction system giving rise to surface hydroxylation during synthesis process.A challenge,to date,remains to suppress PbS CQDs surface hydroxyl ligands as it has been confirmed to be detrimental to efficiency of device,inhibiting carrier transport and collection in ***,in this study,a small amount of tetrabutylammonium iodide(TBAI) was introduced as a compensating ligand(PbS-TBAI) during the CQDs nucleation,which reconstructed the ligands on the surface of *** PbS CQDs with compensating ligands have a longer lifetime(PbS-TBAI 2.67 μs vs PbS-CTL 2.30 μs) by studying quantum dot time-resolved photoluminescence spectroscopy(TRPL),which indicates the surface defect density of states of quantum dots been significantly *** performance of the lead sulfide quantum dot photovoltaic device regulated by compensating ligands achieved PCE of 11.35%,which was 16% higher than that of the control group of 9.81%.Higher current density in our devices demonstrated a stronger charge *** research shows that the introduction of compensating ligands in the late stage of quantum dot nucleation can effectively reduce the trap states introduced by the synthesis process,and further improve the performance of PbS CQDs solar cells.

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基于预训练语言模型的语法错误纠正方法

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上海交通大学学报 2022年第11期56卷 1554-1560页

作者：韩明月王英林上海财经大学信息管理与工程学院上海200433

自然语言处理中的语法错误纠正(GEC)任务存在着低资源性的问题,学习GEC模型需要耗费大量的标注成本以及训练成本.对此,采用从掩码式序列到序列的预训练语言生成模型(MASS)中的迁移学习方式,充分利用预训练模型已提取的语言特征,在GEC的... 详细信息

自然语言处理中的语法错误纠正(GEC)任务存在着低资源性的问题,学习GEC模型需要耗费大量的标注成本以及训练成本.对此,采用从掩码式序列到序列的预训练语言生成模型(MASS)中的迁移学习方式,充分利用预训练模型已提取的语言特征,在GEC的标注数据上微调模型,结合特定的前处理、后处理方法改善GEC模型的表现,从而提出一种新的GEC系统(MASS-GEC).在两个公开的GEC任务中评估该系统,在有限的资源下,与当前GEC系统相比,达到了更好的效果.具体地,在CoNLL14数据集上,该系统在强调查准率的指标F上表现分数为57.9;在JFLEG数据集上,该系统在基于系统输出纠正结果与参考纠正结果n元语法重合度的评估指标GLEU上表现分数为59.1.该方法为GEC任务低资源问题的解决提供了新视角,即从自监督预训练语言模型中,利用适用于GEC任务的文本特征,辅助解决GEC问题.

关键词：语法错误纠正自然语言生成序列到序列

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