Knowledge Graph Empowered Entity Description Generation
Table 3: Effect of MGCN+SUM on different numbers of input triples.
['[BOLD] # Triples', '[BOLD] # Instances', '[BOLD] GCN', '[BOLD] MGCN+SUM', 'Δ [BOLD]  (BLEU)']
In order to have a deeper understanding on how multi-graph transformation helps the generation, we further explore the model performance under different numbers of triples on the test set. Both models perform the best when number of triples is between 31 and 50. They both have a poorer performance when the number of triples is too small or too large. With small amount of triples, the models have insufficient information to generate accurate descriptions while large amount of triples make it challenging for the models to select meaningful information. Another observation is that the improvement of BLEU (Δ) by our model is higher with smaller number of triples.