Cross-TOP: Zero-Shot Cross-Schema Task-Oriented Parsing
Melanie Rubino, Nicolas Guenon des Mesnards, Uday Shah, Nanjiang Jiang, Weiqi Sun, Konstantine Arkoudas
Abstract
Deep learning methods have enabled taskoriented semantic parsing of increasingly complex utterances. However, a single model is still typically trained and deployed for each task separately, requiring labeled training data for each, which makes it challenging to support new tasks, even within a single business vertical (e.g., food-ordering or travel booking). In this paper we describe Cross-TOP (Cross-Schema Task-Oriented Parsing), a zero-shot method for complex semantic parsing in a given vertical. By leveraging the fact that user requests from the same vertical share lexical and semantic similarities, a single cross-schema parser is trained to service an arbitrary number of tasks, seen or unseen, within a vertical. We show that Cross-TOP can achieve high accuracy on a previously unseen task without requiring any additional training data, thereby providing a scalable way to bootstrap semantic parsers for new tasks. As part of this work we release the FoodOrdering dataset, a task-oriented parsing dataset in the food-ordering vertical, with utterances and annotations derived from five schemas, each from a different restaurant menu.- Anthology ID:
- 2022.deeplo-1.6
- Volume:
- Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing
- Month:
- July
- Year:
- 2022
- Address:
- Hybrid
- Editors:
- Colin Cherry, Angela Fan, George Foster, Gholamreza (Reza) Haffari, Shahram Khadivi, Nanyun (Violet) Peng, Xiang Ren, Ehsan Shareghi, Swabha Swayamdipta
- Venue:
- DeepLo
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 48–60
- Language:
- URL:
- https://aclanthology.org/2022.deeplo-1.6
- DOI:
- 10.18653/v1/2022.deeplo-1.6
- Cite (ACL):
- Melanie Rubino, Nicolas Guenon des Mesnards, Uday Shah, Nanjiang Jiang, Weiqi Sun, and Konstantine Arkoudas. 2022. Cross-TOP: Zero-Shot Cross-Schema Task-Oriented Parsing. In Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing, pages 48–60, Hybrid. Association for Computational Linguistics.
- Cite (Informal):
- Cross-TOP: Zero-Shot Cross-Schema Task-Oriented Parsing (Rubino et al., DeepLo 2022)
- PDF:
- https://preview.aclanthology.org/emnlp22-frontmatter/2022.deeplo-1.6.pdf