Introducing two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness
Bang 3: AUC scores for distinguishing antonyms from synonyms in ViSim-400.
['[EMPTY]', '[BOLD] Model', '[BOLD] Noun', '[BOLD] Verb', '[BOLD] Adj']
In a second experiment, we computed the cosine similarities between all word pairs, and used the area under curve (AUC) to distinguish between antonyms and synonyms. Again, the models show a similar behaviour in comparison to SimLex-999, where also the dLCE model outperforms the two other models, and the SGNS model is by far the worst.