桂林电子科技大学学报Issue(4)：325-328,4.
基于马尔可夫模型的新闻事件抽取方法
News event extraction based on Markov model
摘要
Abstract
Due to most of the existing approaches for event extraction generally cause an imbalance between positive and nega-tive samples,a new extraction method driven by event instance is presented.The method removes the non-event sentences with support vector machine,and then a novel distance metric is presented which uses Markov model to describe the location of the sentences in documents.Experimental results indicate that the imbalance problem can be solved and the overall per-formance of event extraction is improved.关键词
事件抽取/新闻文本/分类/事件序列/聚类Key words
event extraction/news text/classify/event sequence/cluster分类
信息技术与安全科学引用本文复制引用
夏威,黄廷磊,刘久云,华绿绿..基于马尔可夫模型的新闻事件抽取方法[J].桂林电子科技大学学报,2015,(4):325-328,4.基金项目
国家863计划(2012AA011005) （2012AA011005）
