Continuous N-gram Representations for Authorship Attribution

EACL 2017  ·  Yunita Sari, Andreas Vlachos, Mark Stevenson ·

This paper presents work on using continuous representations for authorship attribution. In contrast to previous work, which uses discrete feature representations, our model learns continuous representations for n-gram features via a neural network jointly with the classification layer... Experimental results demonstrate that the proposed model outperforms the state-of-the-art on two datasets, while producing comparable results on the remaining two. read more

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