GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems
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Abstract (arXiv)
Much recent progress in task-oriented dialogue (ToD) systems has been driven by available annotation data across multiple domains for training. Over the last few years, there has been a move towards data curation for multilingual ToD systems that are applicable to serve people speaking different languages. However, existing multilingual ToD datasets either have a limited coverage of languages due to the high cost of data curation, or ignore the fact that dialogue entities barely exist in countries speaking these languages. To tackle these limitations, we introduce a novel data curation method that generates GlobalWoZ -- a large-scale multilingual ToD dataset globalized from an English ToD dataset for three unexplored use cases. Our method is based on translating dialogue templates and filling them with local entities in the target-language countries. We release our dataset as well as a set of strong baselines to encourage research on learning multilingual ToD systems for real use cases.
Key facts. Cited by 30 papers in the map (data through 7 Oct 2026). Builds on 22 of its 38 references that are in the map. First posted on arXiv 14 Oct 2021.
Builds on
22 of 38 references.
References · 22
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
- 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,813
- 2020Multilingual Denoising Pre-training for Neural Machine Translationcited by 1,028
- 2018MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modellingcited by 760
- 2019Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Datasetcited by 426
- 2020A Simple Language Model for Task-Oriented Dialoguecited by 331
- 2016A Network-based End-to-End Trainable Task-oriented Dialogue Systemcited by 252
- 2019Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systemscited by 215
- 2020MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselinescited by 201
- 2020MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmarkcited by 156
- 2017Key-Value Retrieval Networks for Task-Oriented Dialoguecited by 137
10 more
- 2020TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Trackingcited by 130
- 2018Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialogcited by 124
- 2020MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systemscited by 103
- 2017Frames: A Corpus for Adding Memory to Goal-Oriented Dialogue Systemscited by 84
- 2020Recent Advances and Challenges in Task-oriented Dialog Systemcited by 78
- 2020CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Datasetcited by 66
- 2021BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modelingcited by 55
- 2021From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understandingcited by 43
- 2020RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modelingcited by 40
- 2019VOnDA: A Framework for Ontology-Based Dialogue Managementcited by 2
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Citing papers per year: 2021: 1; 2022: 10; 2023: 12; 2024: 4; 2025: 1; 2026: 2.
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