期刊：
NATURAL LANGUAGE ENGINEERING,2018年24(4):523-549 ISSN：1351-3249
通讯作者：
Li, Bo
作者机构：
[Li, Bo] Cent China Normal Univ, Dept Comp Sci, Wuhan, Hubei, Peoples R China.;[Gaussier, Eric] Univ Grenoble Alpes, CNRS, LIG, AMA, Grenoble, France.;[Yang, Dan] China Elect Power Res Inst, Wuhan, Hubei, Peoples R China.
通讯机构：
[Li, Bo] C;Cent China Normal Univ, Dept Comp Sci, Wuhan, Hubei, Peoples R China.
摘要：
Comparable corpora serve as an important substitute for parallel resources in cases of under-resourced language pairs. Previous work mostly aims to find a better strategy to exploit existing comparable corpora, while ignoring the variety in corpus quality. The quality of comparable corpora affects a lot its usability in practice, a fact that has been justified by several studies. However, researchers have not been able to establish a widely accepted and fully validated framework to measure corpus quality. We will thus investigate in this paper a comprehensive methodology to deal with the quality of comparable corpora. To be exact, we will propose several comparability measures and a quantitative strategy to test those measures. Our experiments show that the proposed comparability measure can capture gold-standard comparability levels very well and is robust to the bilingual dictionary used. Moreover, we will show in the task of bilingual lexicon extraction that the proposed measure correlates well with the performance of the real world application.
期刊：
Information Processing & Management,2018年54(2):291-302 ISSN：0306-4573
通讯作者：
Li, Bo
作者机构：
[Li, Bo] Cent China Normal Univ, Sch Comp Sci, Wuhan, Hubei, Peoples R China.;[Gaussier, Eric] Univ Grenoble Alpes, CNRS, LIG AMA, Grenoble, France.;[Yang, Dan] China Elect Power Res Inst, Wuhan, Hubei, Peoples R China.
通讯机构：
[Li, Bo] C;Cent China Normal Univ, Sch Comp Sci, Wuhan, Hubei, Peoples R China.
关键词：
Cross-language information retrieval;D/C condition;Information retrieval heuristic
期刊：
Modern Physics Letters B,2017年31(29):1750262 ISSN：0217-9849
通讯作者：
Hu, Fang
作者机构：
[Hu, Fang; Wang, Yanran; Huang, Xiaoming; Chen, Luogeng; Hu, Mengyu] Hubei Univ Chinese Med, Coll Informat Engn, Wuhan 430065, Hubei, Peoples R China.;[Hu, Fang] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Hu, Fang] H;[Hu, Fang] C;Hubei Univ Chinese Med, Coll Informat Engn, Wuhan 430065, Hubei, Peoples R China.;Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Hubei, Peoples R China.
关键词：
Community detection;SA-SOM algorithm;modularity;normalized mutual information;density;simulation test
摘要：
Currently, community detection is a hot topic. This paper, based on the self-organizing map (SOM) algorithm, introduced the idea of self-adaptation (SA) that the number of communities can be identified automatically, a novel algorithm SA-SOM of detecting communities in complex networks is proposed. Several representative real-world networks and a set of computer-generated networks by LFR-benchmark are utilized to verify the accuracy and the efficiency of this algorithm. The experimental findings demonstrate that this algorithm can identify the communities automatically, accurately and efficiently. Furthermore, this algorithm can also acquire higher values of modularity, NMI and density than the SOM algorithm does.
关键词：
career starter;newcomer in the workplace;socialization content;adjustment outcome;organizational entry
摘要：
We explored the trajectories of change and dynamic associations between socialization content and adjustment outcome of Chinese people embarking on their career. We conducted a 3-wave longitudinal survey to measure what career starters learnt and how they adjusted to the workplace and organization during the initial 7 months after organizational entry. The findings suggest that socialization content, task performance, and affective commitment increased, and job satisfaction decreased over time. The faster that newcomers learn a task, the faster their performance improves. For those Chinese employees who worked in both state-owned and private organizations, the sooner they understood social relationships in the organization, the faster they formed affective commitment. In this study we explain how employees develop these skills in China, and it is one of the few studies in which an examination has been carried out within the Chinese organizational context into what newcomers learn, their adjustment process, and their dynamic relations.
关键词：
land-use zoning;multi-objective optimization;particle swarm optimization;crossover and mutation;Yicheng
摘要：
Comprehensive land-use planning (CLUP) at the county level in China must include land-use zoning. This is specifically stipulated by the China Land Management Law and aims to achieve strict control on the usages of land. The land-use zoning problem is treated as a multi-objective optimization problem (MOOP) in this article, which is different from the traditional treatment. A particle swarm optimization (PSO) based model is applied to the problem and is developed to maximize the attribute differences between land-use zones, the spatial compactness, the degree of spatial harmony and the ecological benefits of the land-use zones. This is subject to some constraints such as: the quantity limitations for varying land-use zones, regulations assigning land units to a certain land-use zone, and the stipulation of a minimum parcel area in a land-use zoning map. In addition, a crossover and mutation operator from a genetic algorithm is adopted to avoid the prematurity of PSO. The results obtained for Yicheng, a county in central China, using different objective weighting schemes, are compared and suggest that: (1) the fundamental demand for attribute difference between land-use zones leads to a mass of fragmentary land-use zones; (2) the spatial pattern of land-use zones is remarkably optimized when a weight is given to the sub-objectives of spatial compactness and the degree of spatial harmony, simultaneously, with a reduction of attribute difference between land-use zones; (3) when a weight is given to the sub-objective of ecological benefits of the land-use zones, the ecological benefits get a slight increase also at the expense of a reduction in attribute difference between land-use zones; (4) the pursuit of spatial harmony or spatial compactness may have a negative effect on each other; (5) an increase in the ecological benefits may improve the spatial compactness and spatial harmony of the land-use zones; (6) adjusting the weights assigned to each sub-objective can generate a corresponding optimal solution, with a different quantity structure and spatial pattern to satisfy the preference of the different decision makers; (7) the model proposed in this paper is capable of handling the land-use zoning problem, and the crossover and mutation operator can improve the performance of the model, but, nevertheless, leads to increased time consumption.
