Overview of the CLIN29 Shared Task on Cross-Genre Gender Prediction in Dutch.

Abstract: This overview presents the results of the cross-genre gender prediction task (GxG) organized at CLIN29. Teams were tasked with training a system to predict the gender of authors of tweets, YouTube comments and news articles. In the cross-genre setting, systems were trained on two genres, and tested on the other to assess domain adap- tivity of the solutions. Eight teams participated in the shared task. Per- formance was generally better in the in-genre setting. In the cross-genre settings, performance on news articles declined the most compared to other target genres.