[
Table 6: Comparison of the Structured Distributional Model (SDM) performance (MAP) on the subject and object relative clauses in RELPRON.
['[BOLD] SDM  [BOLD] Subset', '[BOLD] SG  [ITALIC] sbj', '[BOLD] SG  [ITALIC] obj', '[BOLD] CBOW  [ITALIC] sbj', '[BOLD] CBOW  [ITALIC] obj', '[BOLD] C-Phrase  [ITALIC] sbj', '[BOLD] C-Phrase  [ITALIC] obj']
Turning to the RELPRON dataset, we noticed that the difference between subject and object relative clauses is particularly relevant for SDM, which generally shows better performances on the latter. While relying on syntactic dependencies, SDM also processes properties in linear order: the verb+arg model, therefore, works differently when applied to subject clauses than to object clauses. In the subject case, in fact, the verb is found first, and then its expectations are used to re-rank the object ones. In the object case, on the other hand, things proceed the opposite way: at first the subject is found, and then its expectations are used to re-rank the verb ones. Therefore, the event knowledge triggered by the verb seems not only less informative than the one triggered by the argument, but it is often detrimental to the composition process.