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 ,

ACL |

Publication

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

July 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.