Huda Hakami

14 papers A 1B 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2022 J jnl
Learning to Borrow - Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion.
CoRR
Huda Hakami, Mona Hakami, Angrosh Mandya, Danushka Bollegala
2022 — conf
Learning to Borrow- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion.
NAACL-HLT
Huda Hakami, Mona Hakami, Angrosh Mandya, Danushka Bollegala
2021 A conf
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding.
EACL
Danushka Bollegala, Huda Hakami, Yuichi Yoshida, Ken-ichi Kawarabayashi
2021 J jnl
RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding.
CoRR
Danushka Bollegala, Huda Hakami, Yuichi Yoshida, Ken-ichi Kawarabayashi
2020 — —
A study on learning representations for relations between words.
Huda Hakami
2019 — conf
Context-Guided Self-supervised Relation Embeddings.
PACLING
Huda Hakami, Danushka Bollegala
2019 — conf
Learning Relation Representations from Word Representations.
AKBC
Huda Hakami, Danushka Bollegala
2019 — conf
Learning to Compose Relational Embeddings in Knowledge Graphs.
PACLING
Wenye Chen, Huda Hakami, Danushka Bollegala
2018 B conf
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection.
COLING
Huda Hakami, Kohei Hayashi, Danushka Bollegala
2017 J jnl
A classification approach for detecting cross-lingual biomedical term translations.
Nat. Lang. Eng.
Huda Hakami, Danushka Bollegala
2017 J jnl
An Optimality Proof for the PairDiff operator for Representing Relations between Words.
CoRR
Huda Hakami, Kohei Hayashi, Danushka Bollegala
2017 J jnl
Compositional Approaches for Representing Relations Between Words: A Comparative Study.
CoRR
Huda Hakami, Danushka Bollegala
2017 J jnl
Compositional approaches for representing relations between words: A comparative study.
Knowl. Based Syst.
Huda Hakami, Danushka Bollegala
2017 — conf
Discovering Representative Space for Relational Similarity Measurement.
PACLING
Huda Hakami, Angrosh Mandya, Danushka Bollegala