Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014, Article ID 437162, 17 pages
http://dx.doi.org/10.1155/2014/437162
Research Article

A Grammar-Based Semantic Similarity Algorithm for Natural Language Sentences

1Department of Computer and Communication Engineering, Ming Chuan University, Taoyuan 333, Taiwan
2Department of Engineering Science, National Cheng Kung University, Tainan 701, Taiwan
3Department of Visual Communication Design, Hsuan Chuang University, Hsinchu 300, Taiwan

Received 17 December 2013; Accepted 10 March 2014; Published 10 April 2014

Academic Editors: J. G. Duque, J. T. Fernandez-Breis, and P. Melin

Copyright © 2014 Ming Che Lee et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [10 citations]

The following is the list of published articles that have cited the current article.

  • Vuk Batanovic, and Dragan Bojic, “Using Part-of-Speech Tags as Deep-Syntax Indicators in Determining Short-Text Semantic Similarity,” Computer Science And Information Systems, vol. 12, no. 1, pp. 1–31, 2015. View at Publisher · View at Google Scholar
  • Wafa Wali, Bilel Gargouri, Abdelmajid Ben Hamadou, Wafa Wali, Bilel Gargouri, and Abdelmajid Ben Hamadou, “Supervised Learning to Measure the Semantic Similarity Between Arabic Sentences,” Computational Collective Intelligence (Iccci 2015), Pt I, vol. 9329, pp. 158–167, 2015. View at Publisher · View at Google Scholar
  • Jia Wei Chang, Ming Che Lee, and Tzone I. Wang, “Integrating a semantic-based retrieval agent into case-based reasoning systems: A case study of an online bookstore,” Computers In Industry, vol. 78, pp. 29–42, 2016. View at Publisher · View at Google Scholar
  • Rida Hijab Basit, Muhammad Aslam, A. M. Martinez-Enriquez, and Afraz Z. Syed, “Semantic Similarity Analysis of Urdu Documents,” Pattern Recognition, vol. 10267, pp. 234–243, 2017. View at Publisher · View at Google Scholar
  • Madhumitha Ramamurthy, and Ilango Krishnamurthi, “Design and Development of a Framework for an Automatic Answer Evaluation System Based on Similarity Measures,” Journal of Intelligent Systems, vol. 26, no. 2, pp. 243–262, 2017. View at Publisher · View at Google Scholar
  • Nada A. Dief, Ali E. Al-Desouky, Amr Aly Eldin, and Asmaa M. El-Said, “An Adaptive Semantic Descriptive Model for Multi-Document Representation to Enhance Generic Summarization,” International Journal of Software Engineering and Knowledge Engineering, vol. 27, no. 01, pp. 23–48, 2017. View at Publisher · View at Google Scholar
  • Yaoyun Zhang, Yonghui Wu, Hee-Jin Lee, Olivia Zhang, Jun Xu, Hua Xu, and Kirk Roberts, “Psychiatric symptom recognition without labeled data using distributional representations of phrases and on-line knowledge,” Journal of Biomedical Informatics, vol. 75, pp. S129–S137, 2017. View at Publisher · View at Google Scholar
  • Dinh Que Tran, Thi Hoi Nguyen, Gia Manh Dam, and Manh Hung Nguyen, “Multi-feature based similarity among entries on media portals,” Advances in Intelligent Systems and Computing, vol. 538, pp. 373–382, 2017. View at Publisher · View at Google Scholar
  • Wafa Wali, Bilel Gargouri, and Abdelmajid Ben Hamadou, “Using Sentence Semantic Similarity to Improve LMF Standardized Arabic Dictionary Quality,” Computational Linguistics and Intelligent Text Processing, vol. 9623, pp. 612–622, 2018. View at Publisher · View at Google Scholar
  • Manh Hung Nguyen, Dinh Que Tran, Gia Manh Dam, and Thi Hoi Nguyen, “Integrated sentiment and emotion into estimating the similarity among entries on social network,” Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 221, pp. 242–253, 2018. View at Publisher · View at Google Scholar