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.
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Dokumenttyp: | conferenceObject |
Erscheinungsdatum: | 2019 |
Schlagwörter: | Linguistics |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27448992 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://hdl.handle.net/10067/1662090151162165141 |