文本摘要问题中的句子抽取方法研究  

Research on Sentence Extraction in Text Summarization

作　　者：张龙凯[1] 王厚峰[1] 

机构地区：[1]北京大学计算语言学教育部重点实验室,北京100871

出　　处：《中文信息学报》2012年第2期97-101,共5页Journal of Chinese Information Processing

基　　金：国家自然科学基金资助项目(91024009;60973053);核高基资助项目(2011ZX01042-001-001)

摘　　要：抽取式摘要是从正文中按照一定策略抽取重要句子组成摘要。该文提出了一种句子抽取方法。基本思想是将句子的抽取看作序列标注问题,采用条件随机场模型对句子进行二类标注,根据标注结果抽出句子以生成摘要。由于不在摘要中的句子的数量远大于摘要中的句子数量,标注过程倾向于拒绝将句子标注为摘要句,针对此问题该文引入了修正因子进行修正。实验表明该方法具有较好地效果。Extractive summarization attempts to extract important sentences from the original text and re-organize them in a summary.In this paper we propose a method to automatically identify significant sentences.The basic idea of this method is to label each sentence with one of two tags via the sequence labeling modelof Conditional Random Fields.Considering that many sentences tend to be rejected due to the fact that sentences in summarization are much less compared with the original sentences,we introduce a correction factor to correct the label bias.Experiment results show that the proposed method achieves a good performance.

关 键 词：文本摘要 句子抽取 条件随机场 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]