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A key improvement of the brand new rating mechanism is to replicate a more accurate choice pertinent to reputation, pricing policy and slot effect based on exponential decay mannequin for on-line customers. This paper studies how the web music distributor should set its rating policy to maximize the value of online music rating service. However, previous approaches typically ignore constraints between slot value illustration and related slot description representation in the latent space and lack sufficient mannequin robustness. Extensive experiments and analyses on the lightweight fashions present that our proposed methods obtain significantly increased scores and considerably improve the robustness of each intent detection and slot filling. Unlike typical dialog models that depend on huge, complex neural network architectures and enormous-scale pre-skilled Transformers to attain state-of-the-artwork results, our methodology achieves comparable results to BERT and even outperforms its smaller variant DistilBERT on conversational slot extraction duties. Still, even a slight improvement might be value the price.
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发表于 2022-9-3 07:35:17
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