基于变量查询的进化事件跟踪新方法

Changwei Zhao, Qinke Peng, Chengwei Li, Quanwei Zhang, S. Sun
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引用次数: 0

摘要

传统的事件跟踪技术作为一种特征共现方法,在设置跟踪相似度阈值时遇到了一个难题,会降低其跟踪效果。本文提出了一种新的事件跟踪方法——变量查询,该方法可以根据事件演化阶段和跟踪相似度自动调整查询项及其对应的权值,很好地解决了事件跟踪的两难问题。实验表明,变量查询方法可以提高跟踪精度,降低跟踪错误率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Method of Evolution Event Tracking Based on Variable Query
As a feature co-occurrence approach, the traditional event tracking technique encounters a dilemma when setting the tracking similarity threshold that can diminish its tracking effectiveness. In this paper we present a new event tracking method-variable query, which can automatically adjust query terms and its corresponding weights according to the event evolution stages and tracking similarity, and solve the dilemma well. Experiment shows that the method of variable query can improve the precision and decrease the false rate of tracking.
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