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

We propose a novel method that enables us to determine words that deserve tobe emphasized from written text in visual media, relying only on theinformation from the self-attention distributions of pre-trained languagemodels (PLMs). With extensive experiments and analyses, we show that 1) ourzero-shot approach is superior to a reasonable baseline that adopts TF-IDF andthat 2) there exist several attention heads in PLMs specialized for emphasisselection, confirming that PLMs are capable of recognizing important words insentences.

IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize?