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

Dependency parsers are among the most crucial tools in natural languageprocessing as they have many important applications in downstream tasks such asinformation retrieval, machine translation and knowledge acquisition. Weintroduce the Yara Parser, a fast and accurate open-source dependency parserbased on the arc-eager algorithm and beam search. It achieves an unlabeledaccuracy of 93.32 on the standard WSJ test set which ranks it among the topdependency parsers. At its fastest, Yara can parse about 4000 sentences persecond when in greedy mode (1 beam). When optimizing for accuracy (using 64beams and Brown cluster features), Yara can parse 45 sentences per second. Theparser can be trained on any syntactic dependency treebank and differentoptions are provided in order to make it more flexible and tunable for specifictasks. It is released with the Apache version 2.0 license and can be used forboth commercial and academic purposes. The parser can be found athttps://github.com/yahoo/YaraParser.

Yara Parser: A Fast and Accurate Dependency Parser