| Resumen |
We present the CIC-GIL approach to the cross-domain authorship attribution task at PAN 2018. This year’s evaluation lab focuses on the closed-set attribution task applied to a Fanfiction corpus in five languages: English, French, Italian, Polish, and Spanish.We followed a traditional machine learning approach and selected different feature sets depending on the language. We evaluated document features such as typed and untyped character n-grams, word n-grams, and function word n-grams. Our final system uses the log-entropy weighting scheme and SVM as classifier. |
