Authorship Attribution Using Syntactic Dependencies
Wanner Leo · Frontiers in artificial intelligence and applications · 2016
Authorship attribution deals with the prediction of the author of a (usually written) discourse. This is of high relevance to a number of applications, including plagiarism detection, authenticity verification and deception detection. So far, most of the state-of-the-art approaches to author attribution rely mainly upon lexical and token (sequence) distribution features. But this means to neglect numerous linguistic studies that clearly indicate the high relevance of syntactic features to the characterization of a personal style of an author. We show in an experiment with 26 authors that indeed the use of syntactic features helps us to achieve a >77% an accuracy.