NorNE: Annotating Named Entities for Norwegian
Table 5: Evaluating the impact of fastText pre-training, testing on the Bokmål development split of NorNE.
['Pre-train.', 'Dim.', 'F1']
Unsurprisingly, we observe that pre-training substantially boosts performance of the NER model. Moreover, we observe that CBOW (here only shown for a 100-dimensional model) is substantially outperformed by the SkipGram model, and that performance steadily increase with increased dimensionality. In all the subsequent experiments reported in the paper we use a SkipGram model with a dimensionality of 600.