论文阅读笔记3 A CO-INTERACTIVE TRANSFORMER FOR JOINT SLOT FILLING AND INTENT DETECTION

A CO-INTERACTIVE TRANSFORMER FOR JOINT SLOT FILLING AND INTENT DETECTION

Summary

local and global contexts are jointly modeled(局部和全局的上下文被联合建模).。

global view： Calculate the similarity between a certain phrase and the whole document in the vector space as transitional embedding based models do .(在向量空间中计算某个短语与整个文档的相似度，就像基于过渡嵌入的模型那样)

local view:
first, build a graph structure based on the document where phrases are regarded as vertices and the edges are similarities between vertices,(首先基于 document 构建一个图结构，将短语视为顶点，边为顶点之间的相似点。)

Then, proposed a new centrality computation method to capture local salient information based on the graph structure.(提出了一种基于图结构的中心性计算方法捕获局部的显著性信息)

finally, we further combine the modeling of global and local context for ranking(将全局和局部上下文的建模