Named entity recognition for Vietnamese

  • Authors:
  • Dat Ba Nguyen;Son Huu Hoang;Son Bao Pham;Thai Phuong Nguyen

  • Affiliations:
  • Faculty of Information Technology, University of Engineering and Technology, Vietnam National University, Hanoi;Faculty of Information Technology, University of Engineering and Technology, Vietnam National University, Hanoi;Faculty of Information Technology, University of Engineering and Technology, Vietnam National University, Hanoi;Faculty of Information Technology, University of Engineering and Technology, Vietnam National University, Hanoi

  • Venue:
  • ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Named Entity Recognition is an important task but is still relatively new for Vietnamese. It is partly due to the lack of a large annotated corpus. In this paper, we present a systematic approach in building a named entity annotated corpus while at the same time building rules to recognize Vietnamese named entities. The resulting open source system achieves an F-measure of 83%, which is better compared to existing Vietnamese NER systems.