BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data
BoB
This repository provides the implementation details for the ACL 2021 main conference paper:
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data.
1. Data Preparation
In this work, we carried out persona-based dialogue generation experiments under a persona-dense scenario (English PersonaChat) and a persona-sparse scenario (Chinese PersonalDialog), with the assistance of a series of auxiliary inference datasets. Here we summarize the key information of these datasets and provide the links to download these datasets if they are directly accessible.
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For Persona-Dense Experiments
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For Persona-Sparse Experiments
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Download Pre-trained BERT
The BoB model is initialized from public BERT checkpoints:
2. How to Run
The setup.sh script contains the necessary dependencies to