Relation extraction in vietnamese text using label propagation.

Sam Chan Rathany, Lê Thanh Hương, Nguyễn Thanh Thủy, Nguyễn Thành Long, Trịnh Minh Dũng
Author affiliations

Authors

  • Sam Chan Rathany Đại học Bách khoa Hà Nội
  • Lê Thanh Hương Đại học Bách khoa Hà Nội
  • Nguyễn Thanh Thủy Khoa CNTT, trường ĐHCN, ĐHQG Hà Nội
  • Nguyễn Thành Long Đại học Bách khoa Hà Nội
  • Trịnh Minh Dũng Đại học Bách khoa Hà Nội

DOI:

https://doi.org/10.15625/1813-9663/30/1/2566

Keywords:

Relation extraction, labeled propagation, semi-supervised learning.

Abstract

This paper presents a relation extraction system for Vietnamese texts using label propagation. In this paper, we propose: (i) a measure of similarities between two sentences; (ii) a method to decrease the effect of high frequency labels in the documents. Our experimental results show that proposed label propagation method achieves a higher accuracy than the ordinary one [10]. Moreover, its accuracy is also higher than the support vector machine method applied.

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Published

26-03-2014

How to Cite

[1]
S. C. Rathany, L. T. Hương, N. T. Thủy, N. T. Long, and T. M. Dũng, “Relation extraction in vietnamese text using label propagation”., JCC, vol. 30, no. 1, pp. 15–27, Mar. 2014.

Issue

Section

Computer Science

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