A Deep Context Grammatical Model For Authorship Attribution

LREC 2014 Simon FullerPhil MaguirePhilippe Moser

We define a variable-order Markov model, representing a Probabilistic Context Free Grammar, built from the sentence-level, de-lexicalized parse of source texts generated by a standard lexicalized parser, which we apply to the authorship attribution task. First, we motivate this model in the context of previous research on syntactic features in the area, outlining some of the general strengths and limitations of the overall approach... (read more)

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