Mar 7, 2022 · In this paper, we propose to jointly model historical and future information through the posterior regularization method.
More specifically, by modeling the current utterance and past contexts as prior, and the entire dialogue flow as posterior, we optimize the KL distance between ...
In this paper, we propose to jointly model historical and future information through the posterior regularization method. More specifically, by modeling the ...
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What is task oriented dialogue?
Precognition in Task-oriented Dialogue Understanding: Posterior Regularization by Future Context ... And only historical information is used for inference.
2022. Precognition in Task-oriented Dialogue Understanding: Posterior Regularization by Future Context. N Su, Y Zhang, C Liu, B Du, Y Wang. arXiv preprint ...
Apr 25, 2024 · Precognition in Task-oriented Dialogue Understanding: Posterior Regularization by Future Context. CoRR abs/2203.03244 (2022). [+][–]. Coauthor ...
Precognition in Task-oriented Dialogue Understanding: Posterior Regularization by Future Context · no code implementations • 7 Mar 2022 • Nan Su, Yuchi Zhang ...
In this work we aim to evaluate their ability to complete multi-turn tasks and interact with external databases in the context of established task-oriented ...
Jul 30, 2024 · Precognition in Task-oriented Dialogue Understanding: Posterior Regularization by Future Context. CoRR abs/2203.03244 (2022). [i4]. view.
Precognition in Task-oriented Dialogue Understanding: Posterior Regularization by Future Context. Nan Su, Yuchi Zhang, Chao Liu, Bingzhu Du, Yongliang Wang.