Semi-Supervised Neural System for Tagging, Parsing and Lemmatization
Table 1: Official results of our system in CoNLL shared task. State-of-the-art results are in bold.
['[BOLD] Category', '[BOLD] LAS', '[BOLD] MLAS', '[BOLD] BLEX']
our system ranks 3th/4th for all three main metrics (ex aequo with LATTICE and UDPipe Future for LAS). It performs particularly well on small treebanks with no development data, but a reasonable size of the training set. For example, the system ranks 1st in terms of all three measures on Russian ‘ru_taiga’ treebank, 1st (MLAS and BLEX) and 2nd (LAS) on Latin ‘la_perseus’ treebank and spoken Slovenian ‘sl_sst’ treebank, and 1st (MLAS and BLEX) and 3rd (LAS) on spoken Norwegian ‘no_nynorsklia’ treebank. With respect to LAS score, our system ranks 3rd.