ConvLab: Multi-Domain End-to-End Dialog System Platform
- Sungjin Lee ,
- Qi Zhu ,
- Ryuichi Takanobu ,
- Xiang Li ,
- Yaoqin Zhang ,
- Zheng Zhang ,
- Jinchao Li ,
- Baolin Peng ,
- Xiujun Li ,
- Minlie Huang ,
- Jianfeng Gao
ACL |
We present ConvLab, an open-source multi-domain end-to-end dialog system platform, that enables researchers to quickly set up experiments with reusable components and compare a large set of different approaches, ranging from conventional pipeline systems to end-to-end neural models, in common environments. ConvLab offers a set of fully annotated datasets and associated pre-trained reference models. As a showcase, we extend the MultiWOZ dataset with user dialog act annotations to train all component models and demonstrate how ConvLab makes it easy and effortless to conduct complicated experiments in multi-domain end-to-end dialog settings.
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Tookits for Eighth Dialog System Technology Challenge
juillet 29, 2019
ConvLab is an open-source multi-domain end-to-end dialog system platform, aiming to enable researchers to quickly set up experiments with reusable components and compare a large set of different approaches, ranging from conventional pipeline systems to end-to-end neural models, in common environments.