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

In this paper, we present RTSUM, an unsupervised summarization framework thatutilizes relation triples as the basic unit for summarization. Given an inputdocument, RTSUM first selects salient relation triples via multi-level saliencescoring and then generates a concise summary from the selected relation triplesby using a text-to-text language model. On the basis of RTSUM, we also developa web demo for an interpretable summarizing tool, providing fine-grainedinterpretations with the output summary. With support for customizationoptions, our tool visualizes the salience for textual units at three distinctlevels: sentences, relation triples, and phrases. The codes,are publiclyavailable.

RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization