Document (#38843)

Author

Xinglin, L.

Title

Automatic summarization method based on compound word recognition

Source

Journal of computational information systems (JCIS). 11(2015), no.6, S.2257- 2268

Year

2015

Abstract

After analyzing main methods of automatic summarization today, we find they all ignore the weight of unknown words in the sentence. In order to overcome this problem, a method for automatic summarization based on compound word recognition is proposed. According to this method, the compound word in the text was identified and the segmentation word was corrected at first. Then, keyword set was extracted from Chinese documents and the sentence weights were calculated according to the weights of the keyword set. Because the weight of compound words was calculated by different weight calculation formula, the corresponding total weight of each sentence will be determined. Finally, sentences with higher weight which will be outputted to make up the summarization sentences by original order were selected by percentage. Experiments were conducted on HIT IR-lab Text Summarization Corpus, the results show that the precision can be achieved 76.51% by the proposed method, and we can conclude that the method is applicable for automatic summarization and the effect is good.

Content

Vgl.: http://www.jofcis.com/publishedpapers/2015_11_6_2257_2268.pdf.

Theme

Computerlinguistik

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