We propose a novel entity disambiguation model, based on Deep Neural Network (DNN). Instead of utilizing simple similarity measures and their disjoint combinations, our method directly optimizes document and entity representations for a given similarity measure. Stacked Denoising Auto-encoders are first employed to learn an initial document representation in an unsupervised pre-training stage. ...

The Determinants of Firm Performance: Unions, Works Councils, and Employee Involvement/High Performance Work Practices Drawing on evidence from the United States and Germany, this paper offers a survey of the effects of worker representation (in unions and works councils) and innovative work practices on firm performance. The focus is on the growing links between these two historically separate...

The global dynamics of automata networks (such as neural networks) are a function of their topology and the choice of automata used. Evolutionary methods can be applied to the optimisation of these parameters, but their computational cost is prohibitive unless they operate on a compact representation. Graph grammars provide such a representation by allowing network regularities to be efficientl...

collective behavior is regarded as one of the main issues in contemporary political sociology, a social phenomenon that has long challenged political systems. the purpose of this paper is to study the factors affecting the tendency of the students of shiraz toward collective behavior. to explain collective behavior, we have used neil smelser’s theoretical framework and from the structural-funct...

We study the construction of the collective-coordinate manifold in the baryon number two sector of the Skyrme model. To that end we use techniques of adiabatic large amplitude collective motion, which treat potential and kinetic energy on an equal footing. In this paper the starting point is the Ansatz proposed by Atiyah and Manton (Phys. Lett. 438B, 222 (1989)), which allows a study of the dyn...

In many ways, globalization created the problem of representation for feminist solidarity across the borders of the nation state. This problem is one of presenting a cohesive identity for representation in the transnational public sphere. This paper proposes a solution to this problem of a cohesive identity for women’s representation by drawing on the work of Paul Ricœur. What these women seem ...

This article considers the representation of war in Vietnamese cinema by engaging in a gendered exploration of the legacy of war. By taking gender as an analytical category and cinema as a form of representation, the article examines the largely unexplored issue of the impact of war on female identity in Vietnam. Through the discussion of two recent Vietnamese films, – Dò•i cát (Sandy Lives) an...

My core research interests are centered largely around semantic Web, services computing and the two stand out aspects of Web 2.0, which are: 1) Web as a platform and 2) Harnessing collective intelligence. Specifically, I am interested in modeling and representation, search and ranking, and integration aspects of services. Specific research areas include: • Representation of Web resources includ...

This paper presents a novel and efficient framework for human action recognition based on modeling the motion of human body-parts. Intuitively, a collective understanding of human body-part movements can lead to better understanding and representation of any human action. In this paper, we propose a generative representation of the motion of human body-parts to learn and classify human actions....