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 explore the problem of document summarization in Persianlanguage from two distinct angles. In our first approach, we modify a popularand widely cited Persian document summarization framework to see how it workson a realistic corpus of news articles. Human evaluation on generated summariesshows that graph-based methods perform better than the modified systems. Wecarry this intuition forward in our second approach, and probe deeper into thenature of graph-based systems by designing several summarizers based oncentrality measures. Ad hoc evaluation using ROUGE score on these summarizerssuggests that there is a small class of centrality measures that perform betterthan three strong unsupervised baselines.

PerSum: Novel Systems for Document Summarization in Persian