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

Autor: Van, Phi Nguyen, Hoang, Tung Cao, Manh, Dung Nguyen, Minh, Quan Nguyen, Quoc, Long Tran
Rok vydání: 2022
Předmět:
Druh dokumentu: Working Paper
Popis: 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.
Databáze: arXiv