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 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...

the relationship between technology and international competitiveness dates back to the neo-technological trade theories of the 1960s. this approach considers difference in technology as the primary motive for difference among nations in terms of trade performance. the technology gap approach emphasizes inter-country differences in innovativeness as the basis for international trade flows. the ...

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...

BACKGROUND To improve diagnosis and treatment of celiac disease (CD), research efforts are being made in many different areas. However, the focus, trend, and direction of such efforts require clarity, so that future efforts and directions can be appropriately planned. METHOD In this study, MEDLINE was used to search for trends in CD research. The keyword 'celiac disease' and its variants were...

The WEBSOM methodology for building very large text archives has a very slow method for extracting meaningful unit labels. This is because the method computes for the relative frequencies of all the words of all the documents associated to each unit and then compares these to the relative frequencies of all the words of all the other units of the map. Since maps may have more than 100,000 units...