Zhao Jun

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Named Entity Recognition is one of the key techniques in the fields of natural language processing, information retrieval, question answering and so on. Unfortunately, Chinese Named Entity Recognition (NER) is more difficult for the lack of capitalization information and the uncertainty in word segmentation. In this paper, we present a hybrid algorithm(More)
The paper puts forward a quasi-dependency model for structural analysis of Chinese baseNPs and a MDL-based algorithm for quasi-dependency-strength acquisition. The experiments show that the proposed model is more suitable for Chinese baseNP analysis and the proposed MDL-based algorithm is superior to the traditional ML-based algorithm. The paper also(More)
In order to evaluate and improve the design of space heating systems with groundwater source heat pumps (GWHP), common design practices should be examined. In this paper, a GWHP system with common design is studied. The COP of the heat pump is 3.5 at design condition. The system is divided into five subsystems, and exergetic cost analysis is performed on it(More)
OBJECTIVE We aimed to investigate the role of polymorphisms in IL-16 genes on the susceptibility of Coronary Artery Disease (CAD). METHODS A total of 260 CAD cases and 281 health controls were collected between January 2008 and November 2011. Genotyping of IL-16 rs8034928, rs3848180, rs1131445, rs4778889 and rs11556218 was conducted by polymerase chain(More)
This study explores the role of demographic factors in relationship between HPWS and job satisfaction. The data was collected from 674 academic faculties across 23 public sector universities of Pakistan. Kruskal-Wallis Test reveals that perception of HPWS and Job satisfaction among academic faculty varies with rank, nature of job and age while gender has no(More)
A hierarchical hidden Markov model (HHMM) based approach of product named entity recognition (NER) from Chinese free text is presented in this paper. Characteristics and challenges in product NER is also investigated and analyzed deliberately compared with general NER. Within a unified statistical framework, the approach we proposed is able to make(More)
Over the years, many proposals have been made to incorporate assorted types of feature in language models. However, discrepancies between training sets, evaluation criteria, algorithms, and hardware environments make it difficult to compare the models objectively. In this paper, we take an information theoretic approach to select feature types in a(More)
It is very significant for a reasonable vehicle routing and scheduling in city airport shuttle service to decrease operational costs and increase passenger satisfaction. Most of the existing reports for such problems assumed that the travel time was invariable. However, the ever-increasing traffic congestion often makes it variable. In this study,(More)