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/

Zendy Plus

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

Zendy Tools

Zendy Open

Interactive story reading is a common parent-child activity, where parentsexpect to teach both language skills and real-world knowledge beyond the story.While increasing storytelling and reading systems have been developed for thisactivity, they often fail to infuse real-world knowledge into the conversation.This limitation can be attributed to the existing question-answering (QA)datasets used for children's education, upon which the systems are built,failing to capture the nuances of how education experts think when conductinginteractive story reading activities. To bridge this gap, we design anannotation framework, empowered by existing knowledge graph to capture experts'annotations and thinking process, and leverage this framework to constructStorySparkQA dataset, which comprises 5,868 expert-annotated QA pairs withreal-world knowledge. We conduct automated and human expert evaluations acrossvarious QA pair generation settings to demonstrate that our StorySparkQA caneffectively support models in generating QA pairs that target real-worldknowledge beyond story content. StorySparkQA is available athttps://huggingface.co/datasets/NEU-HAI/StorySparkQA.

StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based Learning