LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT?
August 03, 2020 ยท Declared Dead ยท ๐ International Workshop on Semantic Evaluation
"No code URL or promise found in abstract"
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Authors
Marc Pร mies, Emily รhman, Kaisla Kajava, Jรถrg Tiedemann
arXiv ID
2008.00805
Category
cs.CL: Computation & Language
Citations
13
Venue
International Workshop on Semantic Evaluation
Last Checked
5 months ago
Abstract
This paper presents the different models submitted by the LT@Helsinki team for the SemEval 2020 Shared Task 12. Our team participated in sub-tasks A and C; titled offensive language identification and offense target identification, respectively. In both cases we used the so-called Bidirectional Encoder Representation from Transformer (BERT), a model pre-trained by Google and fine-tuned by us on the OLID and SOLID datasets. The results show that offensive tweet classification is one of several language-based tasks where BERT can achieve state-of-the-art results.
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