Abstract
Computer-generated text or artificial text nowadays is in abundance on the web, ranging from basic random word salads to web scraping. In this paper, we present a short version of systematic review of some existing automated methods aimed at distinguishing natural texts from artificially generated ones. The methods were chosen by certain criteria. We further provide a summary of the methods considered. Comparisons, whenever possible, use common evaluation measures, and control for differences in experimental set-up.
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CITATION STYLE
Beresneva, D. (2016). Computer-generated text detection using machine learning: A systematic review. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9612, pp. 421–426). Springer Verlag. https://doi.org/10.1007/978-3-319-41754-7_43
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