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Found 4 papers, 2 papers with code
Relations Prediction for Knowledge Graph Completion using Large Language Models
In this work, we make use of the knowledge graph node names to fine-tune a large language model for the relation prediction task.
Knowledge Graph Completion using Structural and Textual Embeddings
We demonstrate that our model achieves competitive results in the relation prediction task when evaluated on a widely used dataset.
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods
Named Entity Recognition (NER) and Relation Classification (RC) are important steps in extracting information from unstructured text and formatting it into a machine-readable format.
Multiple Relations Classification using Imbalanced Predictions Adaptation
To the best of our knowledge, this work is the first that recognizes the imbalanced predictions within the relation classification task.
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