Syntactic and semantic classification of verb arguments using dependency based and rich semantic features
Table 10: Detailed scores for each verb in the test set, obtained by using the scorer for the SemEval task available on the official website
['[BOLD] Verb', '[BOLD] Syntactic stats precision', '[BOLD] Syntactic stats recall', '[BOLD] Syntactic stats fscore', '[BOLD] Semantic stats precision', '[BOLD] Semantic stats recall', '[BOLD] Semantic stats fscore', '[BOLD] Average stats precision', '[BOLD] Average stats recall', '[BOLD] Average stats fscore']
As previously noted, my system improves on the baseline with an increment of almost 4% f-score and on FANTASY, the best performing system submitted by participants, with an increment of around 7%.