Username   Password       Forgot your password?  Forgot your username? 

 

Document Correlation Measurement based on Conceptual Dependent Forest

Volume 14, Number 6, June 2018, pp. 10991108
DOI: 10.23940/ijpe.18.06.p1.10991108

Gang Liu, Hanwen Zhang, and Hanmo Zhang

School of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China

(Submitted on March 1, 2018; Revised on April 21, 2018; Accepted on May 15, 2018)

Abstract:

The formal expression of natural language is the primary task of all natural language problems. In this paper, we propose the concept of conceptual dependency tree based on the conceptual dependency theory. Conceptual dependency differs from dependency analysis in that the performance at the grammatical and semantic level is more concerned with the conceptual hierarchy. Based on the conceptual dependency tree, a conceptual dependency forest model is defined, which provides a solution to the formalized representation of natural language. Based on the conceptual dependency forest model, the definition and calculation method of conceptual dependency strength and potential similarity are further proposed. The experiment proves that the conceptual dependency forest model proposed in this paper is reasonable and effective.

 

References: 7

      1. S. L. Beum, R. B. Barrett, “Automated Conversion from Requirements Documentation to An Object-Oriented Formal Specification Language,” In Proceedings of SAC 2012, Madrid, Spain, ACM, 2012: 23-32
      2. G. R. Carlos, “On the Relation Between Dependency Distance, Crossing Dependencies, and Parsing,” Physics of Life Reviews, 2017
      3. W. L. Chen, M. Zhang, Y. Zhang, and X. Y. Duan, “Exploiting Meta Features for Dependency Parsing and Part-Of-Speech Tagging,” Artificial Intelligence, 2016, 230
      4. Y. C. Cheng, “Machine Learning-based Dependency Analyzer for Chinese”. Proceedings of the International Conference on Chinese Computing. Singapore. 2005: 66-73
      5. R. Schank, “Conceptual Information Processing,” America Elsevier Publishing Company Inc, 1975: 187-201
      6. Z. Z. Shukur and A. M. Ban, “A Tool for Translating a Natural Language Software Specification into Z. International Conference on Formal Methods and Software Engineering”. ICFEM 2012, 2012: 406-410
      7. H. Yamada, “Statistical Dependency Analysis with Support Vector Machines,” in Proceedings of the 8th International Workshop on Parsing Technologies, Nancy, France, 195-206, 2013

           

          Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

          Attachments:
          Download this file (IJPE-2018-06-01.pdf)IJPE-2018-06-01[Document Correlation Measurement based on Conceptual Dependent Forest]421 Kb
           
          This site uses encryption for transmitting your passwords. ratmilwebsolutions.com