ConvLab: Multi-Domain End-to-End Dialog System Platform

Lee, Sungjin, Zhu, Qi, Takanobu, Ryuichi, Li, Xiang, Zhang, Yaoqin, Zhang, Zheng, Li, Jinchao, Peng, Baolin, Li, Xiujun, Huang, Minlie, Gao, Jianfeng

arXiv.org Artificial Intelligence 

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.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found