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New feature proposals

A key improvement of the brand new rating mechanism is to mirror a extra correct choice pertinent to popularity, pricing policy and slot impact primarily based on exponential decay model for online users. This paper research how the web music distributor should set its rating coverage to maximize the value of on-line music rating service. However, earlier approaches usually ignore constraints between slot worth representation and associated slot description representation within the latent space and lack sufficient mannequin robustness. Extensive experiments and analyses on the lightweight models show that our proposed methods achieve significantly larger scores and considerably improve the robustness of both intent detection and slot filling. Unlike typical dialog models that depend on big, complex neural network architectures and large-scale pre-trained Transformers to realize state-of-the-art outcomes, our method achieves comparable results to BERT and even outperforms its smaller variant DistilBERT on conversational slot extraction duties. Still, even a slight improvement is perhaps value the cost.