JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2014, Vol. 49 ›› Issue (11): 59-67.doi: 10.6040/j.issn.1671-9352.3.2014.077

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Method of implicit discourse relation detection based on semantics scenario

YAN Wei-rong, HONG Yu, ZHU Shan-shan, CHE Ting-ting, YAO Jian-min, ZHU Qiao-ming   

  1. School of Computer Science and Technology, Soochow University, Suzhou 215006, Jiangsu, China
  • Received:2014-08-28 Revised:2014-10-21 Online:2014-11-20 Published:2014-11-25

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Abstract: The implicit discourse relation detection has a higher difficulty. For this, a method was proposed to detect implicit discourse relation based on semantics scenario. The compression of description form was realized by frame semantics that abstract argument as conceptual semantic description (semantics scenario), and then mine the comparable argument pairs through semantics scenario from large-scale static data. It can ensure accuracy while improve detection efficiency. The discourse relation was detected in Penn Discourse Treebank (PDTB). The accuracy can reach to 55.26%.

Key words: implicit discourse relation, discourse relation, semantics scenario, PDTB

CLC Number: 

  • TP391
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