How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
Abstract
Recently semantic parsing in context has received considerable attention, which 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 is available at https://github.com/microsoft/ContextualSP.
Cite
@article{arxiv.2002.00652,
title = {How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context},
author = {Qian Liu and Bei Chen and Jiaqi Guo and Jian-Guang Lou and Bin Zhou and Dongmei Zhang},
journal= {arXiv preprint arXiv:2002.00652},
year = {2020}
}
Comments
Accepted by IJCAI2020 (http://static.ijcai.org/2020-accepted_papers.html). SOLE copyright holder is IJCAI (International Joint Conferences on Artificial Intelligence), all rights reserved