ConvLab: Multi-Domain End-to-End Dialog System Platform
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.
- Publication:
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arXiv e-prints
- Pub Date:
- April 2019
- DOI:
- 10.48550/arXiv.1904.08637
- arXiv:
- arXiv:1904.08637
- Bibcode:
- 2019arXiv190408637L
- Keywords:
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- Computer Science - Computation and Language;
- Computer Science - Artificial Intelligence