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

There is a growing interest in understanding how humans initiate and holdconversations. The affective understanding of conversations focuses on theproblem of how speakers use emotions to react to a situation and to each other.In the CL-Aff Shared Task, the organizers released Get it #OffMyChest dataset,which contains Reddit comments from casual and confessional conversations,labeled for their disclosure and supportiveness characteristics. In this paper,we introduce a predictive ensemble model exploiting the finetunedcontextualized word embeddings, RoBERTa and ALBERT. We show that our modeloutperforms the base models in all considered metrics, achieving an improvementof $3\%$ in the F1 score. We further conduct statistical analysis and outlinedeeper insights into the given dataset while providing a new characterizationof impact for the dataset.

BERT-based Ensembles for Modeling Disclosure and Support in Conversational Social Media Text