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UniNE at CLEF 2016: Author Clustering
2016
Conference and Labs of the Evaluation Forum
This paper describes and evaluates an effective unsupervised author clustering authorship linking model called SPATIUM-L1. The suggested strategy can be adapted without any problem to different languages (such as Dutch, English, and Greek) in different genres (e.g., newspaper articles and reviews). As features, we suggest using the m most frequent terms of each text (isolated words and punctuation symbols with m at most 200). Applying a simple distance measure, we determine whether there is
dblp:conf/clef/Kocher16
fatcat:gjzq7mxtgzgafedwnthqguwrve