Automated Semantic Tagging of Textual Content

Jelena Jovanovic, Ebrahim Bagheri, John Cuzzola, Dragan Gasevic, Zoran Jeremic, Reza Bashash
2014 IT Professional Magazine  
Motivated by a continually increasing demand for applications that depend on machine comprehension of text-based content, researchers, in both academia and industry, have developed innovative solutions for automated information extraction from text. In this article, we focus on a subset of such toolsi.e., semantic taggersthat not only extract and disambiguate entities mentioned in the text, but also identify topics that unambiguously describe the text's main themes. We offer insight into the
more » ... cess of semantic tagging, the capabilities and specificities of today's semantic taggers, and also indicate some of the criteria to be considered when choosing a tagger to use.
doi:10.1109/mitp.2014.85 fatcat:lklbciaiyrh7dh6fhw55zcpdge