We use ensembles of proximity based one-class classifiers for authorship verification task. The one-class classifiers compare, for each document of the known authorship, the dissimilarity between this document and the most dissimilar other document of this authorship to the dissimilarity between this document and the questioned document. As the dissimilarity measure between documents we use Com...

In this paper we compare the robustness of several types of stylistic markers to help discriminate authorship at sentence level. We train a SVM-based classifier using each set of features separately and perform sentence-level authorship analysis over corpus of editorials published in a Portuguese quality newspaper. Results show that features based on POS information, punctuation and word / sent...

Our approach to the author identification task uses existing authorship attribution methods using local n-grams (LNG) and performs a weighted ensemble. This approach came in third for this year’s competition, using a relatively simple scheme of weights by training set accuracy. LNG models create profiles, consisting of a list of character n-grams that best represent a particular author’s writin...

RePEc (Research Papers in Economics) offers the RePEc Author Service (RAS). It allows registrants to claim authorship of the research papers that are described in RePEc archives. The data from this service forms a highquality authorship database. We use this data to examine, as a practical example, how different network constructions affect the ranking of economists through authorship centralit...

BACKGROUND Multi-collaborator research is increasingly becoming the norm in the field of biomedicine. With this trend comes the imperative to award recognition to all those who contribute to a study; however, there is a gap in the current "gold standard" in authorship guidelines with regards to the efforts of those who provide high quality biosamples and data, yet do not play a role in the inte...