EUSP: An Easy-to-Use Semantic Parsing PlatForm

Bo An, Chen Bo, Xianpei Han, Le Sun


Abstract
Semantic parsing aims to map natural language utterances into structured meaning representations. We present a modular platform, EUSP (Easy-to-Use Semantic Parsing PlatForm), that facilitates developers to build semantic parser from scratch. Instead of requiring a large amount of training data or complex grammar knowledge, in our platform developers can build grammar-based semantic parser or neural-based semantic parser through configure files which specify the modules and components that compose semantic parsing system. A high quality grammar-based semantic parsing system only requires domain lexicons rather than costly training data for a semantic parser. Furthermore, we provide a browser-based method to generate the semantic parsing system to minimize the difficulty of development. Experimental results show that the neural-based semantic parser system achieves competitive performance on semantic parsing task, and grammar-based semantic parsers significantly improve the performance of a business search engine.
Anthology ID:
D19-3012
Volume:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations
Month:
November
Year:
2019
Address:
Hong Kong, China
Editors:
Sebastian Padó, Ruihong Huang
Venues:
EMNLP | IJCNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
67–72
Language:
URL:
https://aclanthology.org/D19-3012
DOI:
10.18653/v1/D19-3012
Bibkey:
Cite (ACL):
Bo An, Chen Bo, Xianpei Han, and Le Sun. 2019. EUSP: An Easy-to-Use Semantic Parsing PlatForm. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, pages 67–72, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
EUSP: An Easy-to-Use Semantic Parsing PlatForm (An et al., EMNLP-IJCNLP 2019)
Copy Citation:
PDF:
https://aclanthology.org/D19-3012.pdf