LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT?

• URL: http://arxiv.org/abs/2008.00805v1
• Date: Mon, 3 Aug 2020 12:03:17 GMT
• Title: LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT?
• Authors: Marc P\`amies, Emily \"Ohman, Kaisla Kajava, J\"org Tiedemann
• Abstract summary: This paper presents the different models submitted by the LT@Heldirectional 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 Bisinki Representation from Transformer (BERT), a model pre-trained by Google and fine-tuned by us on the OLID and SOLID datasets.
• Score: 0.42056926734482064
• License: http://creativecommons.org/licenses/by/4.0/
• 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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