Publication
Title
Overview of the CLIN29 Shared Task on Cross-Genre Gender Prediction in Dutch.
Author
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.
Language
English
Source (book)
CEUR workshop proceedings
Publication
2019
Volume/pages
2453 (2019) , p. 1-5
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
VABB-SHW
Record
Identifier
Creation 25.02.2020
Last edited 20.06.2024
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