Data and codes for the paper "CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset" (accepted by TACL)
please install ConvLab-2 first:
pip install -e .
Data: data/crosswoz
Code:
- BERTNLU:
convlab2/nlu/jointBERT/crosswoz - RuleDST:
convlab2/dst/rule/crosswoz - TRADE:
convlab2/dst/trade/crosswoz - SL policy:
convlab2/policy/mle/crosswoz - SCLSTM:
convlab2/nlg/sclstm/crosswoz - TemplateNLG:
convlab/nlg/template/crosswoz - Simulator:
convlab/policy/rule/crosswoz
Please kindly cite our paper if this paper and the dataset are helpful.
@article{zhu2020crosswoz,
author = {Qi Zhu and Kaili Huang and Zheng Zhang and Xiaoyan Zhu and Minlie Huang},
title = {Cross{WOZ}: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset},
journal = {Transactions of the Association for Computational Linguistics},
year = {2020}
}