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 Plus annual

Presents the access of premium content as premium feature

Premium Content

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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Despite its relevance, the maturity of NLP for social media pales incomparison with general-purpose models, metrics and benchmarks. This fragmentedlandscape makes it hard for the community to know, for instance, given a task,which is the best performing model and how it compares with others. Toalleviate this issue, we introduce a unified benchmark for NLP evaluation insocial media, SuperTweetEval, which includes a heterogeneous set of tasks anddatasets combined, adapted and constructed from scratch. We benchmarked theperformance of a wide range of models on SuperTweetEval and our results suggestthat, despite the recent advances in language modelling, social media remainschallenging.

SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research