Document clustering is a significant research issue in information retrieval and text mining. Traditionally, most clustering methods were based on the vector space model which has a few limitations such as high dimensionality and weakness in handling synonymous and polysemous problems. Latent...

As the number of speech and video documents increases on the Internet and portable devices proliferate, speech summarization becomes increasingly essential. Relevant research in this domain has typically focused on broadcasts and news; however, the automatic summarization methods used in the...

Linking biomedical concepts is one of the task of the literature-based discovery and permits to identify interesting and hidden relations between seemingly unconnected concepts or entities. Most of existing approaches rely on the assumption that data and underlying literature are static or...

Artful business processes are informal processes typically carried out by those people whose work is mental rather than physical (managers, professors, researchers, etc.), the so called "knowledge workers". In this paper we outline how to automatically build, on top of a collection of e-mail...

In this day and age, conducting a biological experiment is presumably a very expensive procedure largely owing to the highly sophisticated and expensive equipment necessitated by the process. Conceivably, being capable of isolating and focusing on a smaller set of imperative genes or gene...

English Abstract: This paper provides evidence of significant international co-movements of public debt in the form of the common global and regional factors. International events such as the global financial crisis and regional sovereign debt crises suggest the existence of global and regional...

This paper unveils a new resource for macroeconomic research: a long-run dataset covering disaggregated bank credit for 17 advanced economies since 1870. The new data show that the share of mortgages on banks' balance sheets doubled in the course of the 20th century, driven by a sharp rise of...

In this paper we provide some evidence that repeat taking of competitive exams may reduce the impact of background disadvantages on educational outcomes. Using administrative data on the university entrance exam in Turkey we estimate cumulative learning between the first and the nth attempt...

We analyze the economic returns to different postsecondary degrees in Chile. We posit a schooling decision model with unobserved ability, observed test scores and labor market outcomes. We benefit from administrative records to carry out our empirical strategy. Our results show positive average...

Due to their well-known indeterminacies, factor models require identifying assumptions to guarantee unique parameter estimates. For Bayesian estimation, these identifying assumptions are usually implemented by imposing constraints on certain model parameters. This strategy, however, may result...