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.

Metrics

Metrics Loading ...

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

Most read articles by the same author(s)

<< < 1 2 3 > >>