Research Status and Development Trend of Chinese Terminology Set Matching

DOI

10.2991/essd-18.2018.70How to use a DOI?

Keywords

Term Set,Term Matching,Literature Review

Abstract

Term matching plays an important role in natural language processing and knowledge mining. Matching of term sets can enhance the semantic information of terms and improve the precision of term matching, which is crucial for the development of term matching. Therefore, in view of the diversity of the current terminology set matching methods, this paper classifies and compares the commonly used and classical methods in the research area through a survey, and combines the achievements and results of the existing scholars' research, which is beneficial to the future research work.

Copyright

© 2018, 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/).

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TY  - CONF
AU  - Huimin Hou
AU  - Cheng Dong
AU  - Yunliang Zhang
PY  - 2018/07
DA  - 2018/07
TI  - Research Status and Development Trend of Chinese Terminology Set Matching
BT  - Proceedings of the 2018 International Conference on Education Science and Social Development (ESSD 2018)
PB  - Atlantis Press
SP  - 250
EP  - 255
SN  - 2352-5398
UR  - https://doi.org/10.2991/essd-18.2018.70
DO  - 10.2991/essd-18.2018.70
ID  - Hou2018/07
ER  -