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

This paper investigates how linguistic knowledge mined from large textcorpora can aid the generation of natural language descriptions of videos.Specifically, we integrate both a neural language model and distributionalsemantics trained on large text corpora into a recent LSTM-based architecturefor video description. We evaluate our approach on a collection of Youtubevideos as well as two large movie description datasets showing significantimprovements in grammaticality while modestly improving descriptive quality.

Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text