The proposed teacher-student distillation with isotropic regularization improves few-shot multilingual intent detection on proprietary customer care data, though the advertised gains are against baselines not given the source-domain labels.
4171–4186, Minneapolis, Minnesota, (June 2019)
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Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care
The proposed teacher-student distillation with isotropic regularization improves few-shot multilingual intent detection on proprietary customer care data, though the advertised gains are against baselines not given the source-domain labels.