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ORCIDGxG@CLIN 2019: Groningen, The Netherlands
- Hessel Haagsma, Tim Kreutz, Masha Medvedeva, Walter Daelemans, Malvina Nissim:
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. CEUR Workshop Proceedings 2453, CEUR-WS.org 2019
Session 1: Task Overview
- Hessel Haagsma, Tim Kreutz, Masha Medvedeva, Walter Daelemans, Malvina Nissim:
Overview of the CLIN29 Shared Task on Cross-Genre Gender Prediction in Dutch. 1-5
Session 2: Participating Systems
- Rianne Bos, Kelly Dekker, Harmjan Setz:
Embedding and Clustering for Cross-Genre Gender Prediction. 6-13 - Gerlof Bouma:
Exploring Combining Training Datasets for the CLIN 2019 Shared Task on Cross-genre Gender Detection in Dutch. 14-21 - Eduardo Brito, Rafet Sifa, Christian Bauckhage:
Two Attempts to Predict Author Gender in Cross-Genre Settings in Dutch. 22-29 - Lennart Faber, Ian Matroos, Leon Melein Wessel Reijngoud:
Co-Training vs. Simple SVM Comparing Two Approaches for Cross-Genre Gender Prediction. 30-38 - Evgenii Glazunov:
Gender prediction using lexical, morphological, syntactic and character-based features in Dutch. 39-44 - Matej Martinc, Senja Pollak:
Pooled LSTM for Dutch Cross-genre Gender Classification. 45-52 - Eva Vanmassenhove, Amit Moryossef, Alberto Poncelas, Andy Way, Dimitar Sht. Shterionov:
ABI Neural Ensemble Model for Gender Prediction. 53-61
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