A Joint Many-Task Model:Growing a Neural Network for Multiple NLP Tasks
Table 14: Dependency parsing scores on the development set with and without the character n-gram embeddings, focusing on UAS and LAS for unknown words. The overall scores are taken from Table 12. There are 976 unknown words in the sentences of the development set.
['Single (Dependency)', 'Overall scores UAS', 'Overall scores LAS', 'Scores for unknown words UAS', 'Scores for unknown words LAS']
Again, we can see that using the character-level information is effective, and in particular, the improvement of the LAS score is large. These results suggest that it is better to use not only the word embeddings, but also the character n-gram embeddings by default.