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 - researchr publication

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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, CEUR-WS.org, 2019. [doi]

Conference: clin2019

Abstract is missing.

Overview of the CLIN29 Shared Task on Cross-Genre Gender Prediction in DutchHessel Haagsma, Tim Kreutz, Masha Medvedeva, Walter Daelemans, Malvina Nissim. 1-5 [doi]

Embedding and Clustering for Cross-Genre Gender PredictionRianne Bos, Kelly Dekker, Harmjan Setz. 6-13 [doi]

Exploring Combining Training Datasets for the CLIN 2019 Shared Task on Cross-genre Gender Detection in DutchGerlof Bouma. 14-21 [doi]

Two Attempts to Predict Author Gender in Cross-Genre Settings in DutchEduardo Brito, Rafet Sifa, Christian Bauckhage. 22-29 [doi]

Co-Training vs. Simple SVM Comparing Two Approaches for Cross-Genre Gender PredictionLennart Faber, Ian Matroos, Leon Melein Wessel Reijngoud. 30-38 [doi]

Gender prediction using lexical, morphological, syntactic and character-based features in DutchEvgenii Glazunov. 39-44 [doi]

Pooled LSTM for Dutch Cross-genre Gender ClassificationMatej Martinc, Senja Pollak. 45-52 [doi]

ABI Neural Ensemble Model for Gender PredictionEva Vanmassenhove, Amit Moryossef, Alberto Poncelas, Andy Way, Dimitar Shterionov. 53-61 [doi]

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