Gender prediction using lexical, morphological, syntactic and character-based features in Dutch

Evgenii Glazunov. Gender prediction using lexical, morphological, syntactic and character-based features in Dutch. In Hessel Haagsma, Tim Kreutz, Masha Medvedeva, Walter Daelemans, Malvina Nissim, editors, Proceedings of the Shared Task on Cross-Genre Gender Prediction in Dutch at CLIN29 (GxG@CLIN29) co-located with the 29th Conference on Computational Linguistics in The Netherlands (CLIN29), Groningen, The Netherlands, January 31, 2019. Volume 2453 of CEUR Workshop Proceedings, pages 39-44, CEUR-WS.org, 2019. [doi]

Abstract

Abstract is missing.