A novel automatic summarization method from chinese document

作者：Liu, Xinglin; Zheng, Qilun; Ma, Qianli; Lin, Guli

来源：International Journal of Computer Science Issues, 2012, 9(5 5-3): 44-49.

• Automatic summarization
• Compound words
• Keyword extraction
• Natural languange processing
• Sentence weights

With the rapid development of the Web, automatic summarization has become more and more important for handling the huge amount of text information in the Web. This paper proposes an automatic summarization method based on compound-word recognition and keyword extraction, termed CASKE. CASKE firstly recognizes the compound-words in a document, labels P.O.S. and revises word segmentation. Then, it extracts keywords, and calculates sentence weights by keyword weights. Finally it selects the proportion of the sentences with large weights to construct summary. The generated summary has good continuity and is readable. Experiment results show that the generated summaries are similar with manual reference summaries, achieving 68.31% Precision and 66.72% Recall in average.

• 出版日期2012-9
• 单位华南理工大学