期刊文献+

基于句法分析的文本定义抽取方法 被引量:2

Method for Definition Extraction Based on Syntactic Analysis
下载PDF
导出
摘要 提出了一种基于句法分析的特征提取方法,该方法将对句子成分进行分析,并将其作为特征集的一部分进行实验.实验证明,将句子成分分析结果加入特征集中进行定义的抽取,有较好的正确率和召回率. In the study, a feature extraction method based on syntactic analysis was proposed. The method analyzed the sentence elements, and which were use as a part of the feature set for the experiment. The results indicated that the feature set, into which the feature extracted through sentence analysis was added, has better precision and recall rate.
出处 《海南大学学报(自然科学版)》 CAS 2016年第2期105-111,共7页 Natural Science Journal of Hainan University
基金 海南省社会发展科技专项(2015SF32) 国家863课题(2015AA015401)
关键词 特征提取 定义抽取 句法分析 feature extraction definition extraction Syntactic analysis
  • 相关文献

参考文献14

  • 1Muresan S, Klavans J. A method for automatically building and evaluating dictionary resources : proceedings of the Language Resources and Evaluation Conference, Las Palmas, May 29 -31,2002[ C]. [S. 1. ]: [s. n. ] ,2002.
  • 2Storrer A, Wellinghoff S. Automated detection and annotation of term definitions in German text corpora: proceedings of the 5th International Conference on Language Resources and Evaluation, Genoa, May 22 -28, 2006 [ C ]. [ S. 1. ] : [ s. n. ] ,2006.
  • 3Monachesi P, Westerhout E. What can NLP techniques do for eLeaming? : proceedings of the International Conference on In- formatics and Systems 2008, Cairo, March 27 - 29, 2008 [ C ]. Cairo : Cairo University press,2008.
  • 4化柏林,刘一宁,郑彦宁.针对学术定义的抽取规则构建方法研究[J].情报理论与实践,2011,34(12):5-9. 被引量:10
  • 5Penagos C R. Metalinguistic information extraction from specialized texts to enrich computational lexicons [ D ]. Barcelona: Universitat Pompeu Fabra,2004.
  • 6Fahmi I, Bouma G. Learning to identify definitions using syntactic features : proceedings of the EACL 2006 workshop on learn- ing structured information in natural language applications, Trento, April 3 -7,2006 [ C ]. [ S. 1. ] :[ s. n. ] ,2006.
  • 7郭银蕊,陈荣.基于遗传算法的Web信息抽取[J].模式识别与人工智能,2011,24(3):385-390. 被引量:2
  • 8潘湑,顾宏斌.采用改进重采样和BRF方法的定义抽取研究[J].中文信息学报,2011,25(3):30-37. 被引量:7
  • 9Pollak S, Vavpetic A, Kranjc J, et al. NLP workflow for on-line definition extraction from English and Slovene text corpora: proceeding of the KONVENS 2012, Vienna, September 19 -21, 2012[ C ] . Vienna: Eigenverlag GAI,2012.
  • 10Wanichayapong N, Pruthipunyaskul W, Pattara-Atikom W, et al. Social-based traffic information extraction and classifica- tion: proceedings of the International Conference on ITS Telecommunications, Saint-Petersburg, July 31 - August 5,2011 [ C ]. Piscataway : IEEE press ,2011.

二级参考文献42

  • 1林亚平,刘云中,周顺先,陈治平,蔡立军.基于最大熵的隐马尔可夫模型文本信息抽取[J].电子学报,2005,33(2):236-240. 被引量:48
  • 2金博,史彦军,滕弘飞.基于语义理解的文本相似度算法[J].大连理工大学学报,2005,45(2):291-297. 被引量:79
  • 3张榕,宋柔.术语定义提取研究[J].术语标准化与信息技术,2006(1):29-32. 被引量:8
  • 4Jun Xu, Yunbo Cao, Hang Li, Min zhao. Ranking Definitions with Supervised Learning Methods [C]// Proc. 14th International World Wide Web Conference Committee, Chiba, Japan: 2005: 811-819.
  • 5Hang Cui, Min-Yen Kan, Tat-Seng Chua. Soft pat- tern matching models for definitional question answer- ing[J]. ACM Transactions on Information Systems (TOIS), 2007, 25 (2):8-es.
  • 6G. M. Weiss and F. Provost. The effect of class dis- tribution on classifier learning: An empirical study [R]. Computer Science Department, Rutgers Univer- sity,. 2001.
  • 7Domingos, P. Metacost: A General Method for Mak- ing Classifiers Cost-sensitive[C]//Proc. ACM SIGK-DD 1999, San Diego: 1999: 155-164.
  • 8Fan, W. , Salvatore, S. , Zhang, J. ,Chan, P. Ada- Cost: misclassification cost-sensitive boosting. [C]// Proc. ICML 1999, Bled, Siovenia: 1999: 97 -105.
  • 9Pazzani, M., Merz, C., Murphy, P., Ali, K., Hume, T., Brunk, C. Reducing Misclassification Costs. [C]//Proc. ICML 1994, Morgan Kaufmann, San Francisco: 1994:217 -225.
  • 10Han, H., Wang, W., Mao, B. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning. [C]//Proc. ICIC2005, LNCS 3644, Springer, Heidelberg: 2005: 878-887.

共引文献17

同被引文献13

引证文献2

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部