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

We combine multi-task learning and semi-supervised learning by inducing ajoint embedding space between disparate label spaces and learning transferfunctions between label embeddings, enabling us to jointly leverage unlabelleddata and auxiliary, annotated datasets. We evaluate our approach on a varietyof sequence classification tasks with disparate label spaces. We outperformstrong single and multi-task baselines and achieve a new state-of-the-art fortopic-based sentiment analysis.

Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces