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

Automatic news comment generation is a new testbed for techniques of naturallanguage generation. In this paper, we propose a "read-attend-comment"procedure for news comment generation and formalize the procedure with areading network and a generation network. The reading network comprehends anews article and distills some important points from it, then the generationnetwork creates a comment by attending to the extracted discrete points and thenews title. We optimize the model in an end-to-end manner by maximizing avariational lower bound of the true objective using the back-propagationalgorithm. Experimental results on two datasets indicate that our model cansignificantly outperform existing methods in terms of both automatic evaluationand human judgment.

Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation