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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Content selection is a key factor of any successful document generation system. This paper shows how a content selection algorithm has been implemented using an efficient combination of XML/XSL technology and the framework of RST for discourse modeling. The system generates multilingual documents adapted to user profiles in a learning environment for the web. This CourseViewGenerator applies simplified RST schemes to the elaboration of a master document in XML from which content segments are chosen to suit the user's needs. The personalisation of the document is achieved through the application of a sequence of filtering levels of text selection based on the user aspects given as input. These cascading filters are implemented in XSL.

Cascading XSL filters for content selection in multilingual document generation