1 citations · 1 across the 2 of their papers we have counts for
5 papers
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs
Elika Bozorgi, Sakher Khalil Alqaiidi, Afsaneh Shams +2
Machine learning, deep learning, and NLP methods on knowledge graphs are present in different fields and have important roles in various domains from self-driving cars to friend re…
Relations Prediction for Knowledge Graph Completion using Large Language Models
Sakher Khalil Alqaaidi, Krzysztof Kochut
Knowledge Graphs have been widely used to represent facts in a structured format. Due to their large scale applications, knowledge graphs suffer from being incomplete. The relation…
Knowledge Graph Completion using Structural and Textual Embeddings
Sakher Khalil Alqaaidi, Krzysztof Kochut
Knowledge Graphs (KGs) are widely employed in artificial intelligence applications, such as question-answering and recommendation systems. However, KGs are frequently found to be i…
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods
Sakher Khalil Alqaaidi, Elika Bozorgi, Afsaneh Shams +1
Named Entity Recognition (NER) and Relation Classification (RC) are important steps in extracting information from unstructured text and formatting it into a machine-readable forma…
Multiple Relations Classification using Imbalanced Predictions Adaptation
Sakher Khalil Alqaaidi, Elika Bozorgi, Krzysztof J. Kochut
The relation classification task assigns the proper semantic relation to a pair of subject and object entities; the task plays a crucial role in various text mining applications, s…