Noise-robust Named Entity Understanding for Virtual Assistants
Table 5: Results for NEU features used as additional input to the domain classifier (first row) and semantic parser (last three rows). The scores shown corresponding to the domain classifier are accuracies, and those corresponding to the semantic parser are parse accuracies.
['[EMPTY]', 'Baseline', 'Baseline + NER', 'Baseline + NER + EL']
We observe substantial improvements in all 4 cases when NER features are used as additional input, when all the components of the system are the same. In turn, we observe further improvements when our NER+EL featurization is used.