43 citations · 75 across the 17 of their papers we have counts for
5 papers · 1 filter
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
Anson Bastos, Kuldeep Singh, Abhishek Nadgeri +3
Recently, several Knowledge Graph Embedding (KGE) approaches have been devised to represent entities and relations in dense vector space and employed in downstream tasks such as li…
Capturing Knowledge of Emerging Entities From Extended Search Snippets
Sunday C. Ngwobia, Saeedeh Shekarpour, Faisal Alshargi
Google and other search engines feature the entity search by representing a knowledge card summarizing related facts about the user-supplied entity. However, the knowledge card is…
No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph
Kuldeep Singh, Ioanna Lytra, Arun Sethupat Radhakrishna +3
Question answering (QA) over knowledge graphs has gained significant momentum over the past five years due to the increasing availability of large knowledge graphs and the rising i…
Question Answering on Linked Data: Challenges and Future Directions
Saeedeh Shekarpour, Denis Lukovnikov, Ashwini Jaya Kumar +4
Question Answering (QA) systems are becoming the inspiring model for the future of search engines. While recently, underlying datasets for QA systems have been promoted from unstru…
The WDAqua ITN: Answering Questions using Web Data
Christoph Lange, Saeedeh Shekarpour, Soren Auer
WDAqua is a Marie Curie Innovative Training Network (ITN) and is funded under EU grant number 642795 and runs from January 2015 to December 2018. WDAqua aims at advancing the state…