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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

In relation extraction for knowledge-based question answering, searching fromone entity to another entity via a single relation is called "one hop". Inrelated work, an exhaustive search from all one-hop relations, two-hoprelations, and so on to the max-hop relations in the knowledge graph isnecessary but expensive. Therefore, the number of hops is generally restrictedto two or three. In this paper, we propose UHop, an unrestricted-hop frameworkwhich relaxes this restriction by use of a transition-based search framework toreplace the relation-chain-based search one. We conduct experiments onconventional 1- and 2-hop questions as well as lengthy questions, includingdatasets such as WebQSP, PathQuestion, and Grid World. Results show that theproposed framework enables the ability to halt, works well withstate-of-the-art models, achieves competitive performance without exhaustivesearches, and opens the performance gap for long relation paths.

UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering