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arXiv · 1904.08637

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
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Abstract

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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Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Xiang Li, Yaoqin Zhang, Zheng Zhang, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao. 2019-04-18. ConvLab: Multi-Domain End-to-End Dialog System Platform. https://arxiv.org/abs/1904.08637

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