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

• URL: http://arxiv.org/abs/2203.07742v1
• Date: Tue, 15 Mar 2022 09:22:04 GMT
• Title: ViWOZ: A Multi-Domain Task-Oriented Dialogue Systems Dataset For Low-resource Language
• Authors: Phi Nguyen Van, Tung Cao Hoang, Dung Nguyen Manh, Quan Nguyen Minh, Long Tran Quoc
• Abstract summary: ViWOZ is the first multi-turn, multi-domain tasked oriented dataset in Vietnamese. The dataset consists of a total of 5,000 dialogues, including 60,946 fully annotated utterances. With those characteristics, the ViWOZ dataset enables future studies on creating a multilingual task-oriented dialogue system.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: 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.

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