AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation

Crowdsourced dialogue corpora are usually limited in scale and topic coverage due to the expensive cost of data curation. This would hinder the generalization of downstream dialogue models to open-domain topics. In this work, we leverage large language models for dialogue augmentation in the task of...

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Hauptverfasser:	Zheng, Chujie, Sabour, Sahand, Wen, Jiaxin, Zhang, Zheng, Huang, Minlie
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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