ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format Article Swipe
Qi Zhu
,
Christian Geishauser
,
Hsien-chin Lin
,
Carel van Niekerk
,
Baolin Peng
,
Zheng Zhang
,
Michael Heck
,
Nurul Lubis
,
Dazhen Wan
,
Xiaochen Zhu
,
Jianfeng Gao
,
Milica Gašić
,
Minlie Huang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2211.17148
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2211.17148
Task-oriented dialogue (TOD) systems function as digital assistants, guiding users through various tasks such as booking flights or finding restaurants. Existing toolkits for building TOD systems often fall short of in delivering comprehensive arrays of data, models, and experimental environments with a user-friendly experience. We introduce ConvLab-3: a multifaceted dialogue system toolkit crafted to bridge this gap. Our unified data format simplifies the integration of diverse datasets and models, significantly reducing complexity and cost for studying generalization and transfer. Enhanced with robust reinforcement learning (RL) tools, featuring a streamlined training process, in-depth evaluation tools, and a selection of user simulators, ConvLab-3 supports the rapid development and evaluation of robust dialogue policies. Through an extensive study, we demonstrate the efficacy of transfer learning and RL and showcase that ConvLab-3 is not only a powerful tool for seasoned researchers but also an accessible platform for newcomers.
Related Topics
Concepts
Computer science
Bridge (graph theory)
Reinforcement learning
Generalization
Process (computing)
Task (project management)
Human–computer interaction
Function (biology)
Selection (genetic algorithm)
Transfer of learning
Software engineering
Artificial intelligence
Programming language
Systems engineering
Engineering
Biology
Internal medicine
Medicine
Mathematical analysis
Evolutionary biology
Mathematics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2211.17148
- https://arxiv.org/pdf/2211.17148
- OA Status
- green
- Cited By
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4310562013
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4310562013Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2211.17148Digital Object Identifier
- Title
-
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data FormatWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-11-30Full publication date if available
- Authors
-
Qi Zhu, Christian Geishauser, Hsien-chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gašić, Minlie HuangList of authors in order
- Landing page
-
https://arxiv.org/abs/2211.17148Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2211.17148Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2211.17148Direct OA link when available
- Concepts
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Computer science, Bridge (graph theory), Reinforcement learning, Generalization, Process (computing), Task (project management), Human–computer interaction, Function (biology), Selection (genetic algorithm), Transfer of learning, Software engineering, Artificial intelligence, Programming language, Systems engineering, Engineering, Biology, Internal medicine, Medicine, Mathematical analysis, Evolutionary biology, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
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2023: 3Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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