%0 Conference Proceedings %T EUSP: An Easy-to-Use Semantic Parsing PlatForm %A An, Bo %A Bo, Chen %A Han, Xianpei %A Sun, Le %Y Padó, Sebastian %Y Huang, Ruihong %S 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 %D 2019 %8 November %I Association for Computational Linguistics %C Hong Kong, China %F an-etal-2019-eusp %X 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. %R 10.18653/v1/D19-3012 %U https://aclanthology.org/D19-3012 %U https://doi.org/10.18653/v1/D19-3012 %P 67-72