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 present a system description of our contribution to the CoNLL 2019 sharedtask, Cross-Framework Meaning Representation Parsing (MRP 2019). The proposedarchitecture is our first attempt towards a semantic parsing extension of theUDPipe 2.0, a lemmatization, POS tagging and dependency parsing pipeline.  For the MRP 2019, which features five formally and linguistically differentapproaches to meaning representation (DM, PSD, EDS, UCCA and AMR), we propose auniform, language and framework agnostic graph-to-graph neural networkarchitecture. Without any knowledge about the graph structure, and specificallywithout any linguistically or framework motivated features, our systemimplicitly models the meaning representation graphs.  After fixing a human error (we used earlier incorrect version of providedtest set analyses), our submission would score third in the competitionevaluation. The source code of our system is available athttps://github.com/ufal/mrpipe-conll2019.

\'UFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared Task