Abstract. Attention-based pre-trained language models such as GPT-2 brought considerable progress to end-to-end dialogue modelling.

Feb 9, 2021 · Abstract:Attention-based pre-trained language models such as GPT-2 brought considerable progress to end-to-end dialogue modelling.

This work introduces modified training objectives for language model netuning, and employs massive data augmentation via back-translation to increase the ...

To address these issues, we introduce modified training objectives for language model finetuning, and we employ massive data augmentation via backtranslation to ...

Feb 9, 2021 · Attention-based pre-trained language models such as GPT-2 brought considerable progress to end-to-end dialogue modelling.

{AuGPT}: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models ... Language Understanding. EMNLP 2021. RS. BJ.

This work explores few-shot data augmentation for dialogue understanding by prompting large pre-trained language models.

AuGPT: Dialogue with Pre-trained Language Models and Data Augmentation. record by Jonas Kulhanek • AuGPT: Dialogue with Pre-trained Language Models and Data ...

Jan 4, 2021 · We introduce modified training objectives for language model finetuning, and we employ massive data augmentation via back-translation to increase the diversity ...

Jan 20, 2022 · End-to-end dialogue modeling with Pre-trained Language Models and Data Augmentation [ LingMon #171 ]. 99 views · 2 years ago PRAGUE ...more ...