Parsing Tweets into Universal Dependencies
Table 6: Dependency parser comparison on Tweebank v2 test set, with automatic POS tags. We use Ballesteros et al. (2015) as our baseline and build the ensemble and distilling model over it. The “Kt/s” column shows the parsing speed evaluated by thousands of tokens the model processed per second.
['[ITALIC] System', 'UAS', 'LAS', 'Kt/s']
The parser in Dozat et al. Both of the compared systems require superlinear runtime due to graph-based parsing. They are re-trained on the same data as our system. Our baseline lags behind by nearly two LAS points but runs faster than both of them.