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Writing Style Change Detection on Multi-Author Documents
2021
Conference and Labs of the Evaluation Forum
This paper describes the approach we took to create a machine learning model for the PAN 2021 Style Change Detection Task. We approached this task by transforming it to an authorship verification task and applying a slightly modified version of our previous authorship verification approach. We extracted stylometric features from each paragraph in each document and used the absolute differences between the feature vectors corresponding to pairs of paragraphs as input to a Logistic Regression
dblp:conf/clef/SinghWG21
fatcat:zougfjfg5rfbjbizro2ublhjhm