Isaiah Onando Mulang'
Isaiah Onando Mulang'
PhD. Candidate, University of Bonn & Research Associate @ Fraunhofer IAIS, Tutorial Fellow @JKUAT
Verified email at iai.uni-bonn.de - Homepage
Title
Cited by
Cited by
Year
Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text
A Sakor, IO Mulang', K Singh, S Shekarpour, ME Vidal, J Lehmann, ...
27*
Matching Natural Language Relations to Knowledge Graph Properties for Question Answering
IO Mulang', K Singh, F Orlandi
In proceedings of Semantics 2017, Amsterdam, Netherlands, 2017
222017
Capturing Knowledge in Semantically-typed Relational Patterns to Enhance Relation Linking
K Singh, IO Mulang', M Yaser, A Sakor, ME Vidal, C Lange, S Auer
Knowledge Capture (K-Cap 2017), 2017
172017
Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking
IO Mulang', K Singh, A Vyas, S Shekarpour, ME Vidal, S Auer, J Lehmann
arXiv preprint arXiv:1912.06214, 2019
2*2019
Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions
J D’Souza, IO Mulang', S Auer
EMNLP | Proceedings of the Thirteenth Workshop on Graph-Based Methods for …, 2019
22019
Evaluating the Impact of Knowledge Graph Context On Entity Disambiguation Models
IO Mulang', K Singh, C Prabhu, A Nadgeri, J Hoffart, J Lehmann
arXiv preprint arXiv:2008.05190, 2020
12020
Social Media Temporal Absence Recommendation: a Collaborative Filtering Perspective
IO Mulang'
12015
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network
A Bastos, A Nadgeri, K Singh, IO Mulang, S Shekarpour, J Hoffart
arXiv preprint arXiv:2009.08694, 2020
2020
Temporal Absence in Recommendations: a survey of Temporal Patterns in Netflix Prize Data
IO Mulang', W Mwangi
International Journal of Computer Science Issues (IJCSI) 11 (4), 92, 2014
2014
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Articles 1–9