End-to-end Named Entity Recognition from English Speech* *submitted to Interspeech-2020
Table 4: E2E NER from speech: Micro-Average scores, with and without LM.
['[BOLD] E2E NER', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1']
We also studied the effect of language model on the F1 scores. Therefore, based on the quantitative analysis, we conclude that the NER results are closely dependent on the language model, and if an LM is trained on a bigger corpus, then the recall could be increased further.