arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2002.00652cs.CLcs.AI

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

Beihang University(北京航空航天大学);Microsoft Research(微软研究院)

Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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