ABSTRACTNatural language query systems over RDF data need to rely on the semantic relations in query. First, we propose the new crowdsourcing model that used to produce semantic relations dataset. The model not only inherits completeness of the iterative model and accuracy of the parallel model, but also saves human resources. Second, we mine the rules of semantic relation recognition from the correlations between dependency structures and semantic relations. Third, we propose an algorithm of semantic relation recognition for natural language query over RDF data, and experiments demonstrate that it can recognize more semantic relations than existing methods. 相似文献
This survey reviews filtration enlargement models in view of insider trading. Although filtration enlargement aptly models insiders' informational advantage, the theoretical results have not attracted the attention of the empiricists, owing mainly to the lack of a bridge transforming the results to testable hypotheses, and/or the absence of econometrics method linking the hypotheses and the data. This survey provides a feasible avenue to estimate insider information and to detect trading from a relatively sophisticated theoretical model, where the dynamics of publicly available data (e.g., stock price) implies insider information before the information is completely digested. We complete the survey with an empirical illustration based on simulated data. 相似文献
In the context of green bonds playing an increasingly vital role in the green financial market, this study selects 61 green bonds issued in China from 2016 to 2021 as samples to examine the factors influencing green bond credit, including financial information and ratings of issuers, green certification, and government subsidies. First and foremost, based on AHP and entropy method, the financial composite index is constructed to evaluate the issuers’ finance. Additionally, the differences in the cost of green bonds issued by state-owned enterprises (SOEs) and semi-enterprises are explored by adding the property rights variable. Empirical results indicate that the issuer’s rating could significantly affect the credit spread. In addition, the green bond credit spreads of SOEs are more competitive than those of semi-enterprises. When the issuer is a SOE, green bond credit spread has a remarkable negative correlation with finance information. Furthermore, green certification and government grants are not the main factors. Finally, the green bond market, crucial to controlling the green financial system, is presented with specific recommendations for its growth in this study.