Dialogue skeleton assisted prompt transfer for dialogue summarization
AssigneeAdobe Inc.
InventorsTong Yu, Kaige Xie, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Vivek Mahadik, Ani Nenkova
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AssigneeAdobe Inc.
InventorsTong Yu, Kaige Xie, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Vivek Mahadik, Ani Nenkova
Estimating the term…
Dialogue skeleton assisted prompt transfer for dialogue summarization techniques are described that support training of a language model to perform dialogue summarization in a few-shot scenario. A processing device, for instance, receives a training dataset that includes training dialogues. The processing device then generates dialogue skeletons based on the training dialogues using one or more perturbation-based probes. The processing device trains a language model using prompt transfer between a source task, e.g., dialogue state tracking, and a target task, e.g., dialogue summarization, using the dialogue skeletons as supervision. The processing device then receives an input dialogue and uses the trained language model to generate a summary of the input dialogue.
A method comprising:
A system comprising:
A non-transitory computer-readable storage medium storing executable instructions, which when executed by a processing device, cause the processing device to perform operations comprising:
Dependencies are inferred from the claim text.