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

Attention is a very efficient way to model the relationship between twosequences by comparing how similar two intermediate representations are.Initially demonstrated in NMT, it is a standard in all NLU tasks today whenefficient interaction between sequences is considered. However, we show thatattention, by virtue of its composition, works best only when it is given thatthere is a match somewhere between two sequences. It does not very well adaptto cases when there is no similarity between two sequences or if therelationship is contrastive. We propose an Conflict model which is very similarto how attention works but which emphasizes mostly on how well two sequencesrepel each other and finally empirically show how this method in conjunctionwith attention can boost the overall performance.

Conflict as an Inverse of Attention in Sequence Relationship