Abstract
Table .4: CauseRelPro-beta’s micro-averaged scores.
['[BOLD] System', '[BOLD] P', '[BOLD] R', '[BOLD] F1']
The main difference between CauseRelPro-beta and that reported in \textcitemirza-tonelli:2014: Coling is the elimination of the middle step in which causal signals are identified. This, together with the use of supersenses, contributes to increasing recall. However, using token-based features and having a specific step to label CSIGNALs yield better precision.