Parsing Tweets into Universal Dependencies
Table 7: Evaluating our pipeline against a state-of-the-art pipeline.
['[ITALIC] Pipeline stage', 'Score', 'Ours', 'SOTA']
We also compare our model with a pipeline of the state-of-the-art systems (labeled “SOTA”): Stanford CoreNLP tokenizer, ’s Our system differs from the state-of-the-art pipeline in the tokenization and parser components. The results also emphasize the importance of tokenization: without gold tokenization UD parsing performance drops by about four points.