mlsanityData to 7 Oct 2026

ViWOZ: A Multi-Domain Task-Oriented Dialogue Systems Dataset For Low-resource Language

arXiv 2203.07742 ↗First posted 15 Mar 2022cs.CL cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

Most of the current task-oriented dialogue systems (ToD), despite having interesting results, are designed for a handful of languages like Chinese and English. Therefore, their performance in low-resource languages is still a significant problem due to the absence of a standard dataset and evaluation policy. To address this problem, we proposed ViWOZ, a fully-annotated Vietnamese task-oriented dialogue dataset. ViWOZ is the first multi-turn, multi-domain tasked oriented dataset in Vietnamese, a low-resource language. The dataset consists of a total of 5,000 dialogues, including 60,946 fully annotated utterances. Furthermore, we provide a comprehensive benchmark of both modular and end-to-end models in low-resource language scenarios. With those characteristics, the ViWOZ dataset enables future studies on creating a multilingual task-oriented dialogue system.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 31 of its 42 references that are in the map. First posted on arXiv 15 Mar 2022.

Builds on

31 of 42 references.

References · 31

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  3. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  4. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,813
  5. 2018MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modellingcited by 760
  6. 2020XCOPA: A Multilingual Dataset for Causal Commonsense Reasoningcited by 330
  7. 2016A Network-based End-to-End Trainable Task-oriented Dialogue Systemcited by 252
  8. 2019Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systemscited by 215
  9. 2020MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselinescited by 201
  10. 2020TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialoguecited by 185
  11. 2020MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmarkcited by 156
  12. 2020PhoBERT: Pre-trained language models for Vietnamesecited by 148
19 more
  1. 2016Neural Belief Tracker: Data-Driven Dialogue State Trackingcited by 142
  2. 2020MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systemscited by 103
  3. 2019ConveRT: Efficient and Accurate Conversational Representations from Transformerscited by 95
  4. 2020Translation Artifacts in Cross-lingual Transfer Learningcited by 95
  5. 2021MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluationcited by 86
  6. 2020End-to-End Slot Alignment and Recognition for Cross-Lingual NLUcited by 82
  7. 2018Building a Conversational Agent Overnight with Dialogue Self-Playcited by 70
  8. 2020CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Datasetcited by 66
  9. 2019SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Trackingcited by 63
  10. 2021BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modelingcited by 55
  11. 2020MultiWOZ 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotationcited by 51
  12. 2020Overview of the Ninth Dialog System Technology Challenge: DSTC9cited by 49
  13. 2018Towards Universal Dialogue State Trackingcited by 33
  14. 2021Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Fillingcited by 25
  15. 2017Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraintscited by 20
  16. 2019Scaling Multi-Domain Dialogue State Tracking via Query Reformulationcited by 20
  17. 2021PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsingcited by 13
  18. 2020Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery Modelscited by 10
  19. 2021On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditionscited by 4

Built on by

Not cited yet.