Automatic Keyphrase Extraction System for Establishing Text-Significant Concept Relationship

Authors

  • Cong-Xun XIE Department of Imformation and Computer Engineering, Chung Yuan Christian University, Taiwan Author
  • Hsueh-Fu LU Department of Imformation and Computer Engineering, Chung Yuan Christian University, Taiwan Author
  • Cheng-Ting CHIEN Department of Applied Linguistics and Language Studies, Chung Yuan Christian University, Taiwan Author
  • Sheng-Yung CHENG Department of Imformation and Computer Engineering, Chung Yuan Christian University, Taiwan Author
  • Jia-Sheng HEH Department of Imformation and Computer Engineering, Chung Yuan Christian University, Taiwan Author

Abstract

This paper explores several unsupervised approache s to automatic keyword extraction using online news articles. After utiliz ing Stanford Parser to extract keywords and key phrases, SingleRank calculation method was employed to assign specific scores for key phrases in a single document. After keyphra se extraction and evaluation, a graphic structure can be established which is named TSCR (T ext-Significant Concept Relationship) structure system. In order to investi gate the effectiveness of the system for assisting English reading comprehension, a question naire was conducted, and the results confirm the positive influence of the system.

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Published

2012-11-26

Conference Proceedings Volume

2012: ICCE 2012: The 20th International Conference on Computers in Education

Section

Articles

How to Cite

Automatic Keyphrase Extraction System for Establishing Text-Significant Concept Relationship. (2012). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/2893