2019
ACL
ACL 2019
ConvLab: Multi-Domain End-to-End Dialog System Platform
Abstract
AbstractWe 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.
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning and Natural Language Processing
🧭
Keyword Pioneer
— dialog act annotation
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Sungjin Lee
,
Qi Zhu
,
Ryuichi Takanobu
,
Zheng Zhang
,
Yaoqin Zhang
,
Xiang Li
,
Jinchao Li
,
Baolin Peng
,
Xiujun Li
,
Minlie Huang
,
Jianfeng Gao