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New feature proposals

A key enchancment of the new rating mechanism is to mirror a more accurate preference pertinent to popularity, pricing coverage and slot effect based on exponential decay mannequin for online customers. This paper studies how the online music distributor ought to set its rating policy to maximise the worth of on-line music ranking service. However, previous approaches typically ignore constraints between slot value representation and related slot description illustration within the latent space and lack enough model robustness. Extensive experiments and analyses on the lightweight fashions present that our proposed strategies achieve considerably greater scores and considerably enhance the robustness of each intent detection and slot filling. Unlike typical dialog fashions that rely on huge, complicated neural network architectures and huge-scale pre-educated Transformers to achieve state-of-the-art results, our technique achieves comparable outcomes to BERT and even outperforms its smaller variant DistilBERT on conversational slot extraction tasks. Still, even a slight enchancment is likely to be worth the cost.