In this paper it studies elaborately the event summarization method and proposes a mechanism for realizing Chinese breaking news summarization based on sentence feature and fuzzy inference.
针对事件摘要方法进行了深入研究,提出了一种基于句子特征与模糊推断的中文突发事件摘要实现机制。
There are eight features used to form the feature vector for each sentence, and the summarizer is gained by machine learning algorithms, so automatic summarization is changed into classification task.
用这些特征构成句子向量表示,并用机器学习的方法对其进行训练得到器,从而把自动文摘转换为分类问题。
The close combination of word order, semantic feature and diachronic language datum of individual sentence pattern is an attempt to explain the phenomenon.
语序与语义特征及个别句式历时材料的有机结合是诠释这一现象的一种尝试。
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