Within-Between Lexical Relation Classification
Oren Barkan, Avi Caciularu, Ido Dagan · 2020
We propose the novel Within-Between Relation model for recognizing lexical-semantic relations between words.Our model integrates relational and distributional signals, forming an effective sub-space representation for each relation.We show that the proposed model is competitive and outperforms other baselines, across various benchmarks.