Knowledge Bases （KBs） are valuable resources of human knowledge which contribute to many applications. However, since they are manually maintained, there is a big lag between their contents and the upto-date informa...Knowledge Bases （KBs） are valuable resources of human knowledge which contribute to many applications. However, since they are manually maintained, there is a big lag between their contents and the upto-date information of entities. Considering a target entity in KBs, this paper investigates how Cumulative Citation Recommendation （CCR） can be used to effectively detect its worthy-citation documents in large volumes of stream data. Most global relevant models only consider semantic and temporat features of entity-document instances, which does not sufficiently exploit prior knowledge underlying entity-document instances. To tackle this problem, we present a Mixture of Experts （ME） model by introducing a latent layer to capture relationships between the entity-document instances and their latent class information. An extensive set of experiments was conducted on TREC-KBA-2013 dataset. The results show that the model can significantly achieve a better performance gain compared to state-of-the-art models in CCR.展开更多
MFC(Microsoft Foundation Class Library)基础类库提供了一种在Windows平台上编程的框架,该框架是一个编写高效更专业应用的强大工具,缩短了开发时间,增强了代码的可移植性,在不减少编程的自由和灵活性的情况下提供了更多的支持。对基...MFC(Microsoft Foundation Class Library)基础类库提供了一种在Windows平台上编程的框架,该框架是一个编写高效更专业应用的强大工具,缩短了开发时间,增强了代码的可移植性,在不减少编程的自由和灵活性的情况下提供了更多的支持。对基于MFC的应用程序基本框架进行了分析和讨论。展开更多
基金supported by the National Key Research and Development Program of China(No.2016YFB1000902)the National Natural Science Foundation of China(Nos.61472040,61751217,and 61866038)+1 种基金Natural Science Basic Research Plan in Shaanxi Province of China(No.2016JM6082)PhD start project of Yan’an University(No.YDBK2018-09)
文摘Knowledge Bases （KBs） are valuable resources of human knowledge which contribute to many applications. However, since they are manually maintained, there is a big lag between their contents and the upto-date information of entities. Considering a target entity in KBs, this paper investigates how Cumulative Citation Recommendation （CCR） can be used to effectively detect its worthy-citation documents in large volumes of stream data. Most global relevant models only consider semantic and temporat features of entity-document instances, which does not sufficiently exploit prior knowledge underlying entity-document instances. To tackle this problem, we present a Mixture of Experts （ME） model by introducing a latent layer to capture relationships between the entity-document instances and their latent class information. An extensive set of experiments was conducted on TREC-KBA-2013 dataset. The results show that the model can significantly achieve a better performance gain compared to state-of-the-art models in CCR.
文摘MFC(Microsoft Foundation Class Library)基础类库提供了一种在Windows平台上编程的框架,该框架是一个编写高效更专业应用的强大工具,缩短了开发时间,增强了代码的可移植性,在不减少编程的自由和灵活性的情况下提供了更多的支持。对基于MFC的应用程序基本框架进行了分析和讨论。
