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Experiments on two domains of the MultiDoGO dataset reveal challenges of constraint violation detection and sets the stage for future work and enhancements. The results from the empirical work present that the brand new ranking mechanism proposed might be more effective than the previous one in a number of facets. Extensive experiments and analyses on the lightweight fashions present that our proposed strategies obtain considerably increased scores and substantially enhance the robustness of each intent detection and slot filling. Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for brand spanking new Features in Task-Oriented Dialog Systems Shailza Jolly author Tobias Falke author Caglar Tirkaz writer Daniil Sorokin author 2020-dec text Proceedings of the 28th International Conference on Computational Linguistics: Industry Track International Committee on Computational Linguistics Online convention publication Recent progress by means of superior neural fashions pushed the performance of activity-oriented dialog programs to nearly good accuracy on existing benchmark datasets for intent classification and slot labeling.
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发表于 2023-2-25 10:10:42
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