Evaluating Text Representations Techniques for Hypernymy Detection: The Case of Arabic Language

Text representation is a key performance component for any hypernymy-related task.In this study, we investigate representation techniques to understand which features best represent the hypernymy relation, focusing on three factors of representation: word embedding, embedding combination techniques, and using features.The results indicate that different embeddings have different effects on performance; concatenation, 'addition and subtraction' have led to better performance, and using unsupervised measures has a negative effect on performance.