Journal of Guangxi Normal University(Natural Science Edition) ›› 2010, Vol. 28 ›› Issue (1): 135-138.

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Literature Retrieval System Implementation and Impact-based Summarization

CHEN Chong1, LI Feng2, MAO Xian-ling2, HE Jing2, YAN Hong-fei2   

  1. 1. School of Management,Beijing Normal University,Beijing 100875,China;
    2. School of EECS,Peking University,Beijing 100871,China
  • Received:2009-12-15 Online:2010-03-20 Published:2023-02-07

Abstract: A new literature retrieval system is built to returnthe summary of a paper based on its literature impact.It can also returnthe comments given by other papers.The summary and the comments help readers quickly understand both the value of the paper and its inadequacy,whichmay not be found in the paper's abstract.The comments found in citing papers are virtualized as “query” generated by uni-gram language model,and thesentences of original paper are treated as a set of “document”.Using KL-divergence scoring approach to find the similarity between the query and the documents,the top-scored impact sentences of the original paper are selected and returned as summary.The corresponding comments in the citing papers are also returned.The System isbased on the Platform for Applying,Researching And Developing Intelligent Search Engine (PARADISE) developed by Peking University.It has the advantage of quick-to-start and good scalability.

Key words: literature retrieval, comment context, impact-based summarization, PARADISE, KL-divergence scoring

CLC Number: 

  • TP391.1
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