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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

In this work we describe the system from Natural Language Processing group atArizona State University for the TextGraphs 2019 Shared Task. The task focuseson Explanation Regeneration, an intermediate step towards general multi-hopinference on large graphs. Our approach consists of modeling the explanationregeneration task as a \textit{learning to rank} problem, for which we usestate-of-the-art language models and explore dataset preparation techniques. Weutilize an iterative re-ranking based approach to further improve the rankings.Our system secured 2nd rank in the task with a mean average precision (MAP) of41.3\% on the test set.

ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using Language Models and Iterative Re-Ranking