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User study of the Bayesian update of dialogue state approach to dialogue management.

, , , , , , и . INTERSPEECH, стр. 483-486. ISCA, (2008)

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Milica Jevtić

Milica Jaric

Milica Reutemann

Milica Trifunovic

Milica Mićić

 

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Addressing Objects and Their Relations: The Conversational Entity Dialogue Model., , , , , , , и . CoRR, (2019)Reward estimation for dialogue policy optimisation., , и . Comput. Speech Lang., (2018)AgentGraph: Toward Universal Dialogue Management With Structured Deep Reinforcement Learning., , , , , и . IEEE ACM Trans. Audio Speech Lang. Process., 27 (9): 1378-1391 (2019)Dialogue manager domain adaptation using Gaussian process reinforcement learning., , , , , , , и . CoRR, (2016)Uncertainty Estimates for Efficient Neural Network-based Dialogue Policy Optimisation., , и . CoRR, (2017)Transformation-based learning for semantic parsing., , , , , , и . INTERSPEECH, стр. 2719-2722. ISCA, (2009)Incremental on-line adaptation of POMDP-based dialogue managers to extended domains., , , , , , , и . INTERSPEECH, стр. 140-144. ISCA, (2014)Probablistic modelling of F0 in unvoiced regions in HMM based speech synthesis., , , , , , и . ICASSP, стр. 3773-3776. IEEE, (2009)ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?, , , , , , , , и . ACL (2), стр. 936-950. Association for Computational Linguistics, (2023)Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles., , , , , , и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 3096-3102. Association for Computational Linguistics, (2020)