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

Argument Mining (AM) is a relatively recent discipline, which concentrates onextracting claims or premises from discourses, and inferring their structures.However, many existing works do not consider micro-level AM studies ondiscussion threads sufficiently. In this paper, we tackle AM for discussionthreads. Our main contributions are follows: (1) A novel combination schemefocusing on micro-level inner- and inter- post schemes for a discussion thread.(2) Annotation of large-scale civic discussion threads with the scheme. (3)Parallel constrained pointer architecture (PCPA), a novel end-to-end techniqueto discriminate sentence types, inner-post relations, and inter-postinteractions simultaneously. The experimental results demonstrate that ourproposed model shows better accuracy in terms of relations extraction, incomparison to existing state-of-the-art models.

End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture