Ашық домендік диалог жүйелері

task ID: opendomaindialoguesystems

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Dialogue Distillation: Open-Domain Dialogue Augmentation Using Unpaired Data

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractRecent advances in open-domain dialogue systems rely on the success of neural models that are trained on large-scale data. However, collecting large-scale dialogue data is usually time-consuming and labor-intensive. To …...

29679

Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThe construction of open-domain dialogue systems requires high-quality dialogue datasets. The dialogue data admits a wide variety of responses for a given dialogue history, especially responses with different semantics. However, …...

31460

Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractReal human conversation data are complicated, heterogeneous, and noisy, from which building open-domain dialogue systems remains a challenging task. In fact, such dialogue data still contains a wealth of information …...

5160

RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractEvaluating open-domain dialogue systems is challenging for reasons such as the one-to-many problem, i.e., many appropriate responses other than just the golden response. As of now, automatic evaluation methods need …...

37868