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

Lexical databases of semantic frames have been shown to be useful in problems related to natural language processing. However, creation of such databases is a task that is time consuming and involves many manual steps. One of these steps is selection and grouping of sentences to identify frames. However, we advocate that if sentences were previously annotated with ontological information, this grouping could be executed automatically. In this article we present tests performed with clustering sentences containing the lexeme Travel (noun and verb). Tests showed that the use of clustering algorithms on ontologically an- notated sentences is a promising step towards automating construction of semantic frames databases.

Automatically Clustering Ontological Annotated Sentences to Detect Semantic Frames