JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2015, Vol. 50 ›› Issue (03): 11-19.doi: 10.6040/j.issn.1671-9352.3.2014.122

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Scientific literature information extraction based on semantic pattern and reference distribution

YANG Zhong-guo1,2, LI Hong-qi1,2, ZHU Li-ping1,2, LIU Qiang1,2   

  1. 1. Beijing Key Lab of Petroleum Data Mining, China University of Petroleum(Beijing), Beijing 102249, China;
    2. College of Geophysics and Information Engineering, China University of Petroleum(Beijing), Beijing 102249, China
  • Received:2014-09-19 Revised:2014-12-31 Online:2015-03-20 Published:2015-03-13

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Abstract: In the scientific and technology literature, the review of previous research results, analysis of existing problems, propose solutions and other language fragment are part of the innovation of this information. The logical thinking pattern of problem analysis information in the paper and the discourse relation were analyzed. A utilization of reference distribution, discourse relation characteristics, negative emotional characteristics was made to construct universal semantic pattern of information extraction. The problem analysis information was extracted from the original text by matching the defined semantic pattern. At the same time, the guide words feature and semantic similarity were used to extract the mainly work information from papers. Focusing on the science and technology literature of the data mining field, the proposed method was evaluated by contrasting with the artificial extraction results. The results show that this method can accurately extract the corresponding information, provide the basic data source for clustering of scientific papers and the paper recommends.

Key words: reference distribution, textual relations, negative emotion, guide words, semantic pattern

CLC Number: 

  • TP391
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