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Automatic Generation of Comparative Summary for Scientific Literature

Volume 14, Number 7, July 2018, pp. 1570-1579
DOI: 10.23940/ijpe.18.07.p21.15701579

Yao Liua, Yuqing Yangb, and Yi Huanga

aInstitute of Scientific and Technical Information of China, Beijing, 100038, China
bPeking University, Beijing, 100871, China

(Submitted on April 1, 2018; Revised on May 11, 2018; Accepted on June 25, 2018)


In this paper, we propose a comparative summary generation method and conduct key technologies research. We collect prior knowledge from the Internet via a light knowledge structure, extract core information from original literature, divide subtopics of two major topics with AGNES clustering to get the common and independent subtopics, and get comparative information with subtopics alignment and property alignment. We test the performance of each module to prove the validity of the proposed methods. Finally, we design and develop a comparative summary generation system, and the application in the nursing field shows that it can present users with useful information to facilitate the scientific research process.


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