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Annotating Italian Social Media Texts in Universal Dependencies

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Figure

Table 1: Results of the parsers after the differentannotation stages, i.e. with lemmas and language-specific PoS tags (-LX), and with morphologicalfeatures as well (-F)
Table 2: Averaged results of the three parsers,in terms of F-score, along with the relative fre-quency in UD Italian training set (’train’) andPoSTWITA-UD test set (’test’), of individual rela-tions: the 10 most frequent relations in UD Italian(upper part), and three of the relations with poorerparsing results (lower part).

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