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Huda Hakami
Huda Hakami
Assistant Professor, Department of Computer Science, Taif University, Saudi Arabia
Verified email at tu.edu.sa - Homepage
Title
Cited by
Cited by
Year
Compositional approaches for representing relations between words: A comparative study
H Hakami, D Bollegala
Knowledge-Based Systems 136, 172-182, 2017
142017
Why does pairdiff work?-a mathematical analysis of bilinear relational compositional operators for analogy detection
H Hakami, K Hayashi, D Bollegala
Proceedings of the 27th International Conference on Computational …, 2018
92018
A classification approach for detecting cross-lingual biomedical term translations
H Hakami, D Bollegala
Natural Language Engineering 23 (1), 31-51, 2017
92017
Relwalk a latent variable model approach to knowledge graph embedding
D Bollegala, H Hakami, Y Yoshida, K Kawarabayashi
arXiv preprint arXiv:2101.10070, 2021
42021
Context-guided self-supervised relation embeddings
H Hakami, D Bollegala
International Conference of the Pacific Association for Computational …, 2019
22019
Learning relation representations from word representations
H Hakami, D Bollegala
Automated Knowledge Base Construction (AKBC), 2018
22018
An Optimality Proof for the PairDiff operator for Representing Relations between Words.
H Hakami, K Hayashi, D Bollegala
CoRR, 2018
22018
Learning to compose relational embeddings in knowledge graphs
W Chen, H Hakami, D Bollegala
International Conference of the Pacific Association for Computational …, 2019
12019
Why PairDiff works?--A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection
H Hakami, D Bollegala, H Kohei
arXiv preprint arXiv:1709.06673, 2017
12017
Discovering representative space for relational similarity measurement
H Hakami, A Mandya, D Bollegala
International Conference of the Pacific Association for Computational …, 2017
12017
Learning to Borrow--Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion
H Hakami, M Hakami, A Mandya, D Bollegala
arXiv preprint arXiv:2204.13097, 2022
2022
A Study on Learning Representations for Relations Between Words
H Hakami
PQDT-Global, 2020
2020
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Articles 1–12