English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

This paper describes our participation in SemEval-2020 Task 12: MultilingualOffensive Language Detection. We jointly-trained a single model by fine-tuningMultilingual BERT to tackle the task across all the proposed languages:English, Danish, Turkish, Greek and Arabic. Our single model had competitiveresults, with a performance close to top-performing systems in spite of sharingthe same parameters across all languages. Zero-shot and few-shot experimentswere also conducted to analyze the transference performance among theselanguages. We make our code public for further research

ANDES at SemEval-2020 Task 12: A jointly-trained BERT multilingual model for offensive language detection