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

Automatic extraction of temporal information in text is an importantcomponent of natural language understanding. It involves two basic tasks: (1)Understanding time expressions that are mentioned explicitly in text (e.g.,February 27, 1998 or tomorrow), and (2) Understanding temporal information thatis conveyed implicitly via relations. In this paper, we introduce CogCompTime,a system that has these two important functionalities. It incorporates the mostrecent progress, achieves state-of-the-art performance, and is publiclyavailable.1 We believe that this demo will be useful for multiple time-awareapplications and provide valuable insight for future research in temporalunderstanding.

CogCompTime: A Tool for Understanding Time in Natural Language Text