以集群为中心的新闻事件提取方法

J. Piskorski, Hristo Tanev, M. Atkinson, E. V. D. Goot
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引用次数: 38

摘要

本文介绍了由欧盟委员会联合研究中心开发的实时多语种新闻事件提取系统。能够准确、高效地从网络新闻中提取暴力、自然灾害事件。特别地,我们部署了一种语言上相对轻量级的方法,在处理的所有阶段都大量利用集群新闻。本文重点研究了该系统的体系结构、实时新闻聚类、地理聚类、事件提取语法开发、适应新语言处理、聚类级信息融合、可视化事件跟踪和准确性评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cluster-Centric Approach to News Event Extraction
This paper presents a real-time and multilingual news event extraction system developed at the Joint Research Centre of the European Commission. It is capable of accurately and efficiently extracting violent and natural disaster events from online news. In particular, a linguistically relatively lightweight approach is deployed, in which clustered news are heavily exploited at all stages of processing. The paper focuses on the system's architecture, real-time news clustering, geolocating clusters, event extraction grammar development, adapting the system to the processing of new languages, cluster-level information fusion, visual event tracking and accuracy evaluation.
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