no code implementations • 21 Oct 2022 • Sirui Li, Kok Wai Wong, Dengya Zhu, Chun Che Fung
It is considered that such approaches disconnect the semantic connection of multi-relations between an entity pair, and we propose a convolutional and multi-relational representation learning model, ConvMR.
no code implementations • 8 Aug 2022 • Dengya Zhu, Shastri L Nimmagadda, Kok Wai Wong, Torsten Reiners
Relevance judgment of human assessors is inherently subjective and dynamic when evaluation datasets are created for Information Retrieval (IR) systems.
no code implementations • 8 Jul 2022 • Bilal Abu-Salih, Mohammad Alhabashneh, Dengya Zhu, Albara Awajan, Yazan Alshamaileh, Bashar Al-Shboul, Mohammad Alshraideh
Lastly, the assessment of these APIs incorporating the evaluation measures is reported and discussed.
no code implementations • 25 Mar 2022 • Sirui Li, Kok Kai Wong, Dengya Zhu, Chun Che Fung
The key idea is to represent questions and entities of a KG as low-dimensional embeddings.
no code implementations • 10 Dec 2020 • Dengya Zhu, Shastri Lakshman Nimmagadda, Torsten Reiners, Amit Rudra
In this article, we demonstrate the effective use of information retrieval services by a variety of users and agents in various KBWE scenarios.