Constructing an News Story Chain from Word Coverage Perspective
第四届自然语言处理与中文计算会议（NLPCC 2015）—— Along with algorithm complexity brought about by exponential growth in sets of news data, this paper attempts to construct a story chain from word coverage perspective, taking advantage of the story comments to position the turning point of each event, then using the ideas of similarity of topic relationship and sparsity differences as well as RPCA approach to conduct logical modeling for the documents, finally doing random walk and graph traversals to quantify and construct an explainable and logically coherent story chain.
关键词： news story chain;word coverage perspective;random walk;graph traversal 第四届自然语言处理与中文计算会议（NLPCC 2015）
主讲人：Dr. Jiabing Fu 机构：South China University of Technology
时长：0:19:55 年代：2015年
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