SpeedRead: A Fast Named Entity Recognition Pipeline
Table 8: F1 scores of the chunking phase using different POS tags. F1 score is calculated over tokens and not entities.
['[100pt][l]PhaseDataset', 'Train', 'Dev', 'Test']
This score is calculated over the chunking tags of the words. I and B tags are considered as one class while O is left as it is. that using better POS taggers does not necessarily produce better results. The quality of SpeedRead POS tagging is sufficient for the chunking stage. SENNA and SpeedRead POS taggers work better for the detection phase because they are more aggressive, assigning the NNP tag to any capitalized word. On the other hand, Stanford tagger prefers to assign the tag of the lowered case shape of the word, if it is a common word.