Abstract
Task Oriented Parsing (TOP) attempts to map utterances to compositional requests, including multiple intents and their slots. Previous work focus on a tree-based hierarchical meaning representation, and applying constituency parsing techniques to address TOP. In this paper, we propose a new format of meaning representation that is more compact and amenable to sequence-to-sequence (seq-to-seq) models. A simple copy-augmented seq-to-seq parser is built and evaluated over a public TOP dataset, resulting in 3.44% improvement over prior best seq-to-seq parser (exact match accuracy), which is also comparable to constituency parsers’ performance.- Anthology ID:
- 2020.intexsempar-1.3
- Volume:
- Proceedings of the First Workshop on Interactive and Executable Semantic Parsing
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Ben Bogin, Srinivasan Iyer, Xi Victoria Lin, Dragomir Radev, Alane Suhr, Panupong, Caiming Xiong, Pengcheng Yin, Tao Yu, Rui Zhang, Victor Zhong
- Venue:
- intexsempar
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 18–22
- Language:
- URL:
- https://aclanthology.org/2020.intexsempar-1.3
- DOI:
- 10.18653/v1/2020.intexsempar-1.3
- Cite (ACL):
- Chaoting Xuan. 2020. Improving Sequence-to-Sequence Semantic Parser for Task Oriented Dialog. In Proceedings of the First Workshop on Interactive and Executable Semantic Parsing, pages 18–22, Online. Association for Computational Linguistics.
- Cite (Informal):
- Improving Sequence-to-Sequence Semantic Parser for Task Oriented Dialog (Xuan, intexsempar 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2020.intexsempar-1.3.pdf
- Code
- cxuan2019/top