SpeedRead: A Fast Named Entity Recognition Pipeline
Table 10: F1 scores calculated using conlleval.pl script for NER taggers. The table shows that SpeedRead F1 score is 10% below the sate-of-art achieved by SENNA.
['[80pt][l]PhaseDataset', 'Training', 'Dev', 'Test']
First row shows that, given chunked input, the classification phase is able to achieve close scores to the state-of- art classifiers. However, given the chunks generated by SpeedRead, the scores drop around 9.5% in F1 scores.