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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Nowadays, there are many scientific inventions referring to any topic like medicine, technology, economics, finance, banking, computer science, and so on. These inventions are suggested as patents to the agencies working in US and Europe for the registration and revision of the patent applications. But, the job of reviewing the patents might be complicated because every day the quantity of it is bigger and bigger. And also, the amount of work dedicated writing a proper application might be intricate and needs several revisions from investor and examiners. This revision job might have costs for the inventor because they don’t know the proper language for writing the application in the formal mode used. As part of a solution, one approach to minimize the impact of this fact and increase the success of the reviewing process is aid the human reviewer and also inventors with a set of patterns created using Natural Language Processing techniques that accelerate the review just looking in the massive set of registration any similar one already patented and on the other hand aid the inventor writing in the formal manner the application.

Syntactic-Semantic Extraction of Patterns Applied to the US and European Patents Domain