Table 5: Validation precision for different dimensions of the embedding space. Due to computational requirements, 500 dimensions applied only to selected datasets. Figure 7: Training and validation precision against embedding space dimensions for selected datasets Given the larger vocabulary when including organizational information, the ef- fect of dimensionality is more pronounced at smaller dimensions, as is visible in Fig. 7. The BPI 2013 datasets with 3133 and 64 unique combinations of event ac- 22 Dataset Dimensionality of Embedding Space 500 125 64 32 16 8 BPI2013.Incidents .721 .735 .736 .734 .728 .692 BPI2013.Problems .593 .628 .635 .642 .638 .622 BPI2012 (completion events) .779 .788 .791 .787 .747 .602 BPI2012 (all events) .859 .859 .854 .772 .578 BPI2012.W (completion events) .638 .658 .660 .661 .657 .646 BPI2012.W (all events) .832 .833 .832 .824 .733 BPI2012.A .833 .832 .833 .834 .832 .799 BPI2012.O .827 .836 .836 .837 .836 .823 BPI2013.Incidents (with group) .567 .595 .590 .525 .387 .272 BPI2013.Problems (with group) .473 .517 .513 .521 .504 .449 BPI2012 (completion events, resource) .573 .594 .575 .497 .327 .253 BPI2012 (all events, resource) .663 .618 .456 .328 .188 BPI2012.W (completion events, resource) .130 .208 .214 .204 .174 .147 BPI2012.W (all events, resource) .559 .558 .495 .302 .134 BPI2012.A (resource) .714 .709 .717 .717 .688 .615 BPI2012.O (resource) .577 .590 .598 .588 .482 .263 Embedding space dimensions Training Precision 0.4 0.6 0.8 8 32 64 125 500 BPI 2012 (completion events) BPI 2012 (completion events, resource) BPI 2013 Incidents BPI 2013 Incidents (group) BPI 2013 Problems BPI 2013 Problems (group) Embedding space dimensions Validation Precision 0.4 0.6 0.8 8 32 64 125 500