CoNTACT : a Dutch COVID-19 adapted BERT for vaccine hesitancy and argumentation detection
Abstract: We present CoNTACT: a Dutch language model adapted to the domain of COVID-19 tweets. The model was developed by continuing the pre-training phase of RobBERT (Delobelle et al., 2020) by using 2.8M Dutch COVID-19 related tweets posted in 2021. In order to test the performance of the model and compare it to RobBERT, the two models were tested on two tasks: (1) binary vaccine hesitancy detection and (2) detection of arguments for vaccine hesitancy. For both tasks, not only Twitter but also Facebook data was used to show cross-genre performance. In our experiments, CoNTACT showed statisti... Mehr ...
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Dokumenttyp: | conferenceObject |
Erscheinungsdatum: | 2022 |
Schlagwörter: | Linguistics |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26673777 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://hdl.handle.net/10067/1976070151162165141 |