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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
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推荐系统应用于远程教育平台中,有助于学生学习。推荐系统具有在线和离线推荐两部分,在线推荐使用最近邻居完成,离线推荐采用基于语义相似的推荐算法,利用信息内容和用户兴趣的相似性来分析数据仓库中相关数据针对用户兴趣模型找到相似文档进行推荐。 相似文献
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中华民族的舞蹈文化源远流长,是其凝聚力和创造力的集中体现。本文主要研究了中古典舞的艺术特征,并提出了笔者的看法和认识。 相似文献
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This research endeavors to understand the contingent effects of semantic price cues while taking into consideration several important contextual factors. These factors include where the customer encounters the semantic cue (in-store, at-home, online), whether the consumers’ shopping goal is hedonic or utilitarian in nature, the impact of shopping alone or with a companion, as well as the consumer's motivation to process the product information. Findings indicate that a within-store cue (compared to a between store cue) enhances evaluations when the shopping in a store with a utilitarian goal, when shopping alone, and when their motivation to process is low. A meta-analysis of the results demonstrates the robustness of the differential impacts of these semantic cues. 相似文献
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《International Journal of Forecasting》2022,38(3):1086-1099
It is difficult to predict the financial distress of unlisted public firms due to their longer disclosure cycle of accounting information and more inadequate continuity of market trading information compared to listed firms. In this paper, we propose a framework to predict the financial distress of unlisted public firms using current reports. Specifically, to better represent the meaning of current report texts, we propose a semantic feature extraction method based on a word embedding technology. Empirical results show that current reports contain more effective information for predicting the financial distress of unlisted public firms compared with periodic reports. In addition, semantic features extracted using our proposed method significantly improve the predictive performance, and their enhancing effect is superior to that of topic features and sentiment features. Our study also provides implications for stakeholders such as investors and creditors. 相似文献
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《化身博士》是斯蒂文森的代表作,以悬疑、恐怖著称。通过叙事视点的巧妙运用、叙事节奏的准确把握及悬念巧合的合理设置,表现了斯蒂文森对人性善与恶的思考。 相似文献