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# Introduction

Semantic parsing in context is challenging since there are complex contextual phenomena. Previous works verified their proposed methods in limited scenarios, which motivates us to conduct an exploratory study on context modeling methods under real-world semantic parsing in context. We present a grammar-based decoding semantic parser and adapt typical context modeling methods on top of it. We evaluate 13 context modeling methods on two large complex cross-domain datasets, and our best model achieves state-of-the-art performances on both datasets with significant improvements. Furthermore, we summarize the most frequent contextual phenomena, with a fine-grained analysis on representative models, which may shed light on potential research directions. Our code provides a strong and reproducible baseline for future reserach on semantic parsing in context tasks.

# Cite

@inproceedings{qian2020how,
title={How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context twitter},
author={Qian, Liu and Bei, Chen and Jiaqi, Guo and Jian-Guang, Lou and Bin, Zhou and Dongmei, Zhang},
booktitle={IJCAI},
year={2020}
}