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Several authorship analysis tasks require the decomposition of a multiauthored text into its authorial components. In this regard two basic prerequisites need to be addressed: (1) style breach detection, i.e., the segmenting of a text into stylistically homogeneous parts, and (2) author clustering, i.e., the grouping of paragraph-length texts by authorship. In the current edition of PAN we focus on these two unsupervised authorship analysis tasks and provide both benchmark data and andblp:conf/clef/TschuggnallSVDS17 fatcat:o4ep42f4pjdvbfkzl5zfclnnsu