Semi-Supervised Neural System for Tagging, Parsing and Lemmatization
Table 2: Comparison of the models trained with and without the additional loss function.
['[BOLD] Treebank', '[BOLD] UAS  [BOLD] without', '[BOLD] UAS  [BOLD] with', '[BOLD] % Cycles  [BOLD] without', '[BOLD] % Cycles  [BOLD] with']
If there is a lot of cycles in the graphs predicted without the additional loss, e.g. 7.7% cycles in ‘ar_padt’ (Arabic), the number of cycles is significantly reduced with the additional loss function, i.e. the reduction by 3.2 p.p. If the rate of cycles is lower, e.g. 4.19% in ‘cu_proiel’ (Old Church Slavonic) , fewer cycles are corrected, i.e. the reduction by 0.28 p.p. Finally, there are four treebanks – ‘bg_btb’ (Bulgarian), ‘es_ancora’ (Spanish), ‘pt_bosque’ (Portuguese), and ‘ro_rrt’ (Romanian), for which the additional loss function slightly increases the number of cycles.