Keyword extraction attracts much attention for its significant role in various natural language processing tasks. While some existing methods for keyword extraction have considered using single type of semantic relatedness between words or inherent attributes of words, almost all of them ignore two important issues: 1) how to fuse multiple types of semantic relations between words into a unifor...

in this article, we tried to emphasis in how the range of torsionally stiff and flexible single story buildings works. the designed base was according to provisions of the canadian standard, 2005 nbcc. the behavior of nonlinear dynamic time history of eight building models subjected to seven horizontal bi-directional ground motions compatible with design spectra are investigated. these models c...

abstract this article aims to provide theoretical model for analyzing challenge of asymmetric information in the third sector of economy (which is the most important challenge, preventing the growth and development of third sector), using the theoretical foundation of contract theory and incentive theory with regard to the special characteristics of third sector derived by its special structure...

In recent years, many private corporations and government organizations have digitized corpuses of legacy paper documents. Often, these organizations hope to take advantage of digital representations to transform costly manual tasks associated with paper archives into less-costly computer-assisted tasks. The most common approach toward automated information extraction is through inverted indexi...

This paper examines the differences between author generated keywords and automatically generated keywords in one area of scientific and technical literature. Using inverse frequency, keywords produced using both methods are examined using a maximum likelihood algorithm. By reducing the scope and size of the corpus of literature examined, this study more closely emulates the information gatheri...