Author profiling consists of predicting an author's demographics from his/her writing, with gender identification being the most popular task. Slavic languages, however, are less investigated from author profiling standpoint and have never been presented at PAN.
This year we introduce a PAN shared task on Cross-genre Gender Identification in Russian texts where we will provide as training dataset tweets and as test dataset tweets, Facebook posts, as well as reviews, texts describing images, or letters to a friend.
We cordially invite all researchers and practitioners from all fields to participate in this year's PAN @ FIRE shared task.

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Important Dates
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• 30th June, 2017 Release of training corpus (training period starts)
• 1st September, 2017 Release of test corpus
• 20th September, 2017 Submission of runs
• 27th September, 2017 Results notification
• 15th October, 2017 Working notes due

Task Coordinators
Tatiana Litvinova, RusProfiling Lab, Russia
Pavel Seredin, RusProfiling Lab, Russia
Olga Litvinova, RusProfiling Lab, Russia
Paolo Rosso, PRHLT research centre, Universitat Politècnica de València, Spain
Francisco Rangel, PRHLT research centre, Universitat Politècnica de València and Autoritas Consulting, Spain
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Contact
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E-mail: centrrusyaz@gmail.com
Track Web page: http://en.rusprofilinglab.ru/rusprofiling-at-pan/