Learning Concept Embeddings for Dataless Classification via Efficient Bag of Concepts Densification
Table 3: Evaluation of concept embeddings for measuring entity semantic relatedness using Spearman rank-order correlation (ρ). Overall, the CCX model gives the best results outperforming all other models. It comes 1st on 3 categories (bold), and 2nd on the other two (underlined).
['Method', 'IT Companies', 'Celebrities', 'TV Series', 'Video Games', 'Chuck Norris', 'All']
As we can notice the CCX model achieves the best overall performance on the five domains combined exceeding its successor KORE by 1.6%. The CRX model on the other hand came last on this task.