JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2016, Vol. 51 ›› Issue (9): 121-126.doi: 10.6040/j.issn.1671-9352.1.2015.C01

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News event extraction based on kernel dependency graph

LIN Li   

  1. PLA University of Foreign Languages, Luoyang 471003, Henan, China
  • Received:2015-11-14 Online:2016-09-20 Published:2016-09-23

Abstract: The main process of event extraction based on kernel dependency graph(KDG)is to find and match the semantic structure. A Vietnamese-English-Chinese FrameNet on the South China Sea news has been built to explore the specific application of semantic structure extraction including KDG semantic analysis model, KGD automatic generation and event templates extraction based on KDG. The research focuses are the analysis models for typical KDGs, special KDGs of Null Instantiated Frame Element and frame element fusion; the representation method of KDG for event information extraction; the process of KGD automatic generation from annotated sentences. It is demonstrated that event extraction based on KDG is driven by linguistic motivation and feasible to find out the semantic clues of news texts by its intuitiveness. At the present, it is possible to generate KDG automatically from the frame-semantic annotated sentences and extract the corresponding event templates.

Key words: event extraction, Vietnamese, kernel dependency, news

CLC Number: 

  • TP393
[1] 程显毅,朱倩,王进.中文信息抽取原理及应用[M].北京:科学出版社,2010.
[2] 冯志伟.自然语言处理的形式模型[M].合肥:中国科学技术大学出版社,2010.
[3] MOHIT B, NARAYANAN S. Semantic extraction with wide-coverage lexical resources[C] // Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology(Vol.2). Edmonton: Association for Computational Linguistics, 2003:64-66.
[4] COPPOLA B, MOSCHITTI A. A General Purpose FrameNet-based Shallow Semantic Parser[C] // Nicoletta Calzolari et al. Proceedings of the Seventh conference on International Language Resources and Evaluation(LREC'10). Valletta, Malta: European Language Resources Association(ELRA), 2010: 1624-1627.
[5] FILLMORE C J, BAKER C F. Frame Semantics for Text Understanding[C] // Proceedings of WordNet and Other Lexical Resources Workshop. Pittsburgh: NAACL, 2001.
[6] 俞士汶,黄居仁.计算语言学前瞻[M].北京:商务印书馆,2005:44.
[7] FILLMORE C J, BAKER C F, SATO H.Seeing arguments through transparent sStructures[C] // Proceedings of the Third International Conference on Languag Resources and Evaluation(Vol. III). Las Palmas: LREC, 2002:787-791. (下转第150页)
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