Papers with RiSAWOZ
Contextual Semantic Parsing for Multilingual Task-Oriented Dialogues (2023.eacl-main)
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| Challenge: | Existing methods for predicting state of a conversation are limited to a few languages . a method that can be applied to other languages will benefit the large population of speakers of many other languages. |
| Approach: | They propose to automatically translate large-scale dialogue data sets in one language to produce an effective semantic parser for other languages using machine translation. |
| Outcome: | The proposed model reduces the compounding effect of translation errors without harming the accuracy in practice. |
RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling (2020.emnlp-main)
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| Challenge: | RiSAWOZ contains 11.2K human-to-human (H2H) multi-turn semantically annotated dialogues spanning over 12 domains . despite of substantial progress made, there are challenges in creating challenging datasets in terms of size, multiple domains, semantic annotations and complexity. |
| Approach: | They propose a large-scale multi-domain Chinese Wizard-of-Oz dataset with rich semantic annotations that captures discourse phenomena for task-oriented dialogue modeling. |
| Outcome: | The proposed dataset contains 11.2K human-to-human (H2H) multi-turn semantically annotated dialogues with more than 150K utterances spanning over 12 domains. |