How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context

• URL: http://arxiv.org/abs/2002.00652v2
• Date: Sat, 13 Jun 2020 10:13:55 GMT
• Title: How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
• Authors: Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang
• Abstract summary: We present a grammar-based decoding semantic parsing and adapt typical context modeling methods on top of it. We evaluate 13 context modeling methods on two large cross-domain datasets, and our best model achieves state-of-the-art performances.
• Score: 59.13515950353125
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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