Research Progress of Polysemous Disambiguation

DOI

10.2991/iccia-19.2019.67How to use a DOI?

Keywords

Mongolian, Natural language processing, Word sense disambiguation, Semantic category.

Abstract

Linguistic ambiguity is a common phenomenon in human language communication. In natural language, when a word in a sentence has more than one meaning, ambiguity may occur. Word sense disambiguation is an important research topic in the field of natural language processing. The disambiguation effect has a significant impact on machine translation, information retrieval, information extraction and text mining, speech recognition and other aspects, so word meaning disambiguation has important theoretical research and practical application significance. The author analyzes, compares, and summarizes Knowledge-based Methods, Supervised Methods, and Unsupervised Methods, and analyzes the future trends of word sense disambiguation.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Chao Han
AU  - Ha Si
PY  - 2019/07
DA  - 2019/07
TI  - Research Progress of Polysemous Disambiguation
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 437
EP  - 443
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.67
DO  - 10.2991/iccia-19.2019.67
ID  - Han2019/07
ER  -