论文标题

我们距离有效的上下文建模有多远?一项关于上下文语义解析的探索性研究

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

论文作者

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

论文摘要

最近,语境中的语义解析引起了很大的关注,这很具有挑战性,因为存在复杂的上下文现象。以前的作品在有限的情况下验证了他们提出的方法,这激发了我们在上下文中对现实世界语义解析下的上下文建模方法进行探索性研究。我们提出了一种基于语法的解码语义解析器,并在其顶部适应了典型的上下文建模方法。我们在两个大型复杂跨域数据集上评估了13种上下文建模方法,我们的最佳模型在两个数据集上都具有最大的改进。此外,我们总结了最常见的上下文现象,并对代表性模型进行了精细的分析,这可能会揭示潜在的研究方向。我们的代码可在https://github.com/microsoft/contextualsp上找到。

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.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源