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/

Zendy Pro

Presents the zaia usage as premium feature

ZAIA

Presents AI Discovery search usage as a premium feature

AI Discovery

Presents AI Discovery explain and summary usage as a premium feature

Content Analysis

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Presents the pdf analysis as premium feature

PDF Analysis

1500 Top-up

3000 Top-up

Zendy Basic

2500 Top-up

Zendy Unlimited

Presents the access of premium content as premium feature

Premium Content

In this paper we discuss issues related to speeding up parsing with wide-coverage unification grammars. We demonstrate that state-of-the-art optimisation techniques based on backbone parsing before unification do not provide a general solution, because they depend on specific properties of the grammar formalism that do not hold for all unification based grammars. As an alternative, we describe an optimisation technique that combines ambiguity packing at the constituent structure level with pruning based on local features.

Backbone extraction and pruning for speeding up a deep parser for dialogue systems